Alternatives to Google Cloud Video AI

Compare Google Cloud Video AI alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Google Cloud Video AI in 2026. Compare features, ratings, user reviews, pricing, and more from Google Cloud Video AI competitors and alternatives in order to make an informed decision for your business.

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    Ango Hub

    Ango Hub

    iMerit

    Ango Hub is a quality-focused, enterprise-ready data annotation platform for AI teams, available on cloud and on-premise. It supports computer vision, medical imaging, NLP, audio, video, and 3D point cloud annotation, powering use cases from autonomous driving and robotics to healthcare AI. Built for AI fine-tuning, RLHF, LLM evaluation, and human-in-the-loop workflows, Ango Hub boosts throughput with automation, model-assisted pre-labeling, and customizable QA while maintaining accuracy. Features include centralized instructions, review pipelines, issue tracking, and consensus across up to 30 annotators. With nearly twenty labeling tools—such as rotated bounding boxes, label relations, nested conditional questions, and table-based labeling—it supports both simple and complex projects. It also enables annotation pipelines for chain-of-thought reasoning and next-gen LLM training and enterprise-grade security with HIPAA compliance, SOC 2 certification, and role-based access controls.
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    Google Cloud Vision AI
    Derive insights from your images in the cloud or at the edge with AutoML Vision or use pre-trained Vision API models to detect emotion, understand text, and more. Google Cloud offers two computer vision products that use machine learning to help you understand your images with industry-leading prediction accuracy. Automate the training of your own custom machine learning models. Simply upload images and train custom image models with AutoML Vision’s easy-to-use graphical interface; optimize your models for accuracy, latency, and size; and export them to your application in the cloud, or to an array of devices at the edge. Google Cloud’s Vision API offers powerful pre-trained machine learning models through REST and RPC APIs. Assign labels to images and quickly classify them into millions of predefined categories. Detect objects and faces, read printed and handwritten text, and build valuable metadata into your image catalog.
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    Labelbox

    Labelbox

    Labelbox

    The training data platform for AI teams. A machine learning model is only as good as its training data. Labelbox is an end-to-end platform to create and manage high-quality training data all in one place, while supporting your production pipeline with powerful APIs. Powerful image labeling tool for image classification, object detection and segmentation. When every pixel matters, you need accurate and intuitive image segmentation tools. Customize the tools to support your specific use case, including instances, custom attributes and much more. Performant video labeling editor for cutting-edge computer vision. Label directly on the video up to 30 FPS with frame level. Additionally, Labelbox provides per frame label feature analytics enabling you to create better models faster. Creating training data for natural language intelligence has never been easier. Label text strings, conversations, paragraphs, and documents with fast & customizable classification.
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    Amazon Rekognition
    Amazon Rekognition makes it easy to add image and video analysis to your applications using proven, highly scalable, deep learning technology that requires no machine learning expertise to use. With Amazon Rekognition, you can identify objects, people, text, scenes, and activities in images and videos, as well as detect any inappropriate content. Amazon Rekognition also provides highly accurate facial analysis and facial search capabilities that you can use to detect, analyze, and compare faces for a wide variety of user verification, people counting, and public safety use cases. With Amazon Rekognition Custom Labels, you can identify the objects and scenes in images that are specific to your business needs. For example, you can build a model to classify specific machine parts on your assembly line or to detect unhealthy plants. Amazon Rekognition Custom Labels takes care of the heavy lifting of model development for you, so no machine learning experience is required.
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    Gorilla IVAR

    Gorilla IVAR

    Gorilla Technology Group

    Video Analytics are sets of processes that use AI algorithms and metadata to scan video in order to detect patterns or recognize specific objects. Once processed, the video data can then be queried and searched for various/specific results. These are also known as IVAs - Intelligent Video Analytics. Government bodies actively opting for AI-based video systems to monitor traffic congestion. Face recognition technologies are being speedily adopted to support video-based data analytics and enhance face matching to serve several end-use applications. Software automation of video surveillance processes, offering cost-effective benefits to the end-users. Video analytic software breaks down video signals into frames. Understanding digital video and how it works is an interesting topic and good to know before we break down the next steps.
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    Alegion

    Alegion

    Alegion

    Alegion is the data labeling solution for enterprise-grade Machine Learning. We lead the industry in streaming, high-resolution, high-density video annotation, delivering accurately-annotated, model-ready data to train and validate ML models. Alegion provides both the platform and workforce to operate with quality at scale, processing structured and unstructured data including video, image, audio, and text. Our ML powered platform speeds up task completion by as much as 70%, including classless object tracking and single click smart polygon generation. Segmentation options include Keypoint, Bounding Box, Polyline, & Polygon segmentation, for image and video. Semantic Segmentation tools deliver seamless entity boundaries with pixel perfect accuracy. NLP and NER capabilities support text and audio classification and sentiment analysis. The platform is highly configurable to support hybrid use cases. Available via SaaS (Alegion Control), Managed Platform, and Managed Labeling Services.
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    BriefCam

    BriefCam

    BriefCam

    The BriefCam® complete video content analytics platform drives exponential value from surveillance system investments by making video searchable, actionable and quantifiable. The unique fusion of VIDEO SYNOPSIS® and Deep Learning solutions enable rapid video review and search, face recognition, real-time alerting and quantitative video insights. Improves post-event investigation productivity by pinpointing people and objects of interest with speed and precision. Real-time alerting capabilities enable organizations to proactively respond to situational changes in their environment. Extract and aggregate video metadata such as men, women, children, vehicles, size, color, speed, path, and more, enabling users to quantitatively analyze their video. BriefCam’s comprehensive and extensive video content analytics platform is deployed by law enforcement and public safety organizations, government and transportation agencies, major enterprises, healthcare and educational institutions.
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    Scalabel

    Scalabel

    Scalabel

    Support various types of annotations on both images and videos. A scalable open-source web annotation tool. Support simple “click and drag” actions and options to add multiple attributes. Feature functions to fit boundaries with Bezier curves and copy shared boundaries. Annotate the area that the driver is currently driving on. Annotate lane marking for vision-based vehicle localization and trajectory planing. Accurate and intuitive four-click method to encapsulate objects of interest. Predict annotations between frames using object tracking and interpolation algorithm for bounding boxes. Annotation predictions for object instances. 2D tracking features extended to 3D.
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    FindFace

    FindFace

    NtechLab

    NtechLab platform processes video and recognizes human faces, bodies and actions, as well as cars and plate numbers. AI-powered technology enables record breaking accuracy and high speed of recognition. The multi-object and analytical capabilities of FindFace Multi unlock new scenarios for responding challenges of public sector and business. FindFace Multi quickly and accurately recognizes faces, human bodies, cars, and license plate numbers in a live video stream or in a video archive. Searching for faces, bodies, and vehicles in a database or in an archive is available both by a photo sample and by specific features, for example, by age, clothes color, or vehicle model. NtechLab developers are constantly improving recognition algorithms, increasing their performance and accuracy. With FindFace Multi it takes less than a second to detect a face in a video stream, recognize it, and search for a match in a database with billions of images.
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    3deye

    3deye

    3deye

    3deye is a pure cloud video surveillance and AI video analytics platform that transforms existing cameras, NVRs, IoT, drones, and body-worn devices into intelligent video sensors without on-site servers or hardware by centralizing live and recorded video in a web-based system, supporting multi-site, multi-brand deployments, and eliminating bridges or gateways; it includes an admin portal, video portal, alarm monitoring portal, billing module, and native iOS/Android apps, all built on AWS for high uptime, cybersecure streaming, and scalability. Its AI analytics offer on-demand object detection, classification, and tracking with metadata, heat maps, people counting, color and area search, behavior and loitering detection, automatic license plate recognition, face recognition, hard hat and safety vest detection, and fire and smoke detection to reduce false alarms, accelerate incident search, and drive real-time alerts.
    Starting Price: $200 per month
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    Azure Video Indexer
    Azure Video Indexer is a video analytics service that uses AI to extract actionable insights from stored videos. Enhance ad insertion, digital asset management, and media libraries by analyzing audio and video content—no machine learning expertise necessary. Enhance your search experiences by using video indexing within the metadata to automatically extract data from your content. Multichannel analysis provides information to perform a more effective search across your media archive and within each file. Search by person, project, visual text, spoken word, entity, topic, and more. Apply the extracted metadata to improve the user experience. Use speech transcription and translation to easily add closed captioning in multiple languages. Fine-tune recommendation algorithms based on objects and people that appear in a video, and automatically create clips from sections featuring a particular person.
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    netra

    netra

    netra

    No complicated legal contracts, no lock-ins. Process your videos with just a few lines of code, in the programming language of your choice. Netra elastically scales up/down with your changing needs without missing a beat, and supports your video workflows, no matter how complex. It’s as simple as sending the video URL (livestream or video file) to our API and you are done. Process video streams in real-time to provide faster, richer actionable insights, enrich metadata, measure reach, make data-driven recommendations to maximize ROI. Integrate with ease and minimal effort. Detect activities, objects and locations, generate useful timestamped metadata for aggregators. Automate content curation, segment generation and real-time ad insertion. Use our solution to automate curation, segment creation and context relevance for ad insertion. Brand messaging is most impactful when shown against relevant segments and at the instant to reinforce right away.
    Starting Price: $0.02 per month
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    V7 Darwin
    V7 Darwin is a powerful AI-driven platform for labeling and training data that streamlines the process of annotating images, videos, and other data types. By using AI-assisted tools, V7 Darwin enables faster, more accurate labeling for a variety of use cases such as machine learning model training, object detection, and medical imaging. The platform supports multiple types of annotations, including keypoints, bounding boxes, and segmentation masks. It integrates with various workflows through APIs, SDKs, and custom integrations, making it an ideal solution for businesses seeking high-quality data for their AI projects.
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    Hive Data
    Create training datasets for computer vision models with our fully managed solution. We believe that data labeling is the most important factor in building effective deep learning models. We are committed to being the field's leading data labeling platform and helping companies take full advantage of AI's capabilities. Organize your media with discrete categories. Identify items of interest with one or many bounding boxes. Like bounding boxes, but with additional precision. Annotate objects with accurate width, depth, and height. Classify each pixel of an image. Mark individual points in an image. Annotate straight lines in an image. Measure, yaw, pitch, and roll of an item of interest. Annotate timestamps in video and audio content. Annotate freeform lines in an image.
    Starting Price: $25 per 1,000 annotations
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    IBM Intelligent Video Analytics
    IBM Intelligent Video Analytics has been helping agencies and organizations worldwide analyze video captured by fixed cameras, such as those used for physical security, closed-circuit television (CCTV), and monitoring traffic, to extract key information from streaming video to uncover insights and patterns within untold hours of camera footage. Real-time alerts to call attention to events. Rich content-based indexing to find critical images and patterns. Standards-based open and extensible architecture. Ingestion of pre-recorded videos from both fixed cameras and cameras in motion. With ingested video files, analysts can extract critical information and find relevant images faster, which may help accelerate investigations. Advanced facial recognition, which may improve lead generation and risk assessment. Matching faces on the video to an agency's or organization's watch list may help them identify persons of interest and speed investigation.
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    QBurst Video Analytics
    As video content becomes increasingly mainstream, the capability to rapidly extract intelligence from live and recorded footage will be valuable. Applying machine learning algorithms to video feeds, we break down the raw footage to elicit information that can improve business outcomes in real time. Apart from security, video analysis finds application in product marketing, patient care, transportation, and multiple other areas. Insights from video content analysis are being increasingly used to transform operations and drive efficiency in these sectors. Thermal cameras connected to video analytics software can detect movement even in darkness and warn of trespass in real time. Security staff can visually verify the situation and take relevant action. Object identification in live traffic streams reveal vehicle pile-ups and possible road congestion.
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    Mindkosh

    Mindkosh

    Mindkosh AI

    Mindkosh is the data platform for curating, labeling and validating datasets for your AI projects. Our industry leading data annotation platform combines collaborative features with AI-assisted annotation features to provide a comprehensive suite of tools to label any kind of data, be it Images, videos or 3D pointclouds such as those from Lidar. For images, Mindkosh offers semi-automatic segmentation, pre-labeling for bounding boxes and automatic OCR. For videos, automatic interpolation can reduce massive amounts of manual annotation. And for lidar, 1-click annotation allows you to create cuboids in just 1 click! If you are simply looking to get your data labeled, our high quality data annotation services combined with an easy to use Python SDK and web-based review platform, provide an unmatched experience.
    Starting Price: $30/user/month
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    MD-VIDEO AI
    MD-VIDEO AI is the digital forensic software for recovering video data directly from media storage like a disk, memory card, and damaged video file. Deleted and damaged video frames can be recovered, and enhancement feature supports to improve the quality of the target frame. Moreover, the AI-based video analysis feature enables time-efficient investigation. More than 80 kinds of objects can be detected & recognized. The efficient filtering & sorting options help investigators to easily find the object. MD–DRONE is a forensic software for extracting and analyzing data from the various data sources of UAV/drone from global manufacturers such as DJI, Parrot, and PixHawk.
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    Supervisely

    Supervisely

    Supervisely

    The leading platform for entire computer vision lifecycle. Iterate from image annotation to accurate neural networks 10x faster. With our best-in-class data labeling tools transform your images / videos / 3d point cloud into high-quality training data. Train your models, track experiments, visualize and continuously improve model predictions, build custom solution within the single environment. Our self-hosted solution guaranties data privacy, powerful customization capabilities, and easy integration into your technology stack. A turnkey solution for Computer Vision: multi-format data annotation & management, quality control at scale and neural networks training in end-to-end platform. Inspired by professional video editing software, created by data scientists for data scientists — the most powerful video labeling tool for machine learning and more.
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    Helin Remote CCTV Manager
    Helin's Remote CCTV Manager improves the efficiency and safety of your remote operations. It helps you share knowledge and experience over your whole fleet of assets. This tool allows you to stay in visual control of your remote operations. From everywhere. All your video streams are stored in a secure Azure cloud tenant and temporarily at your remote asset. Optimize video recordings, so you can make them available to authorized engineers, managers and clients more easily. Recordings can be rewatched or downloaded for more analysis. Define who can or can’t watch and download videos with user roles. Create automatic alerts based on events in the video stream using our numerous native analytics features. Detect people and objects and integrate them with your machines and equipment.
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    CVAT

    CVAT

    CVAT

    Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale. CVAT’s blazing-fast, intuitive user interface, was designed by working closely with real-world teams solving real-world problems. From medical to retail to autonomous vehicles, world’s most ambitious AI teams use CVAT as a part of their AI workflow every day. No matter what your input data or expected results are, CVAT is ready. It works great with images, videos, and even 3D. Bounding boxes, polygons, points, skeletons, cuboids, trajectories, and more. Annotate more efficiently with automated interactive algorithms like intelligent scissors, histogram equalization, and more. Gain actionable insights with metrics such as annotator working hours, objects per hour, and more.
    Starting Price: $33 per month
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    ACTi

    ACTi

    ACTiACTi Corporation

    ACTi video analytics are designed to help you transform your video surveillance network into a smart detection system and a valuable resource for business management. Advanced image processing algorithms, such as, people counting or license plate recognition, are being used to recognize and track movement of people and objects to determine their behavior and provide analytical insights. The summary reports can then be displayed as interactive graphs and exported. The system can also trigger other network devices such as alarms, electric gates or digital boards. The unique video analysis technology developed by ACTi can power not only dedicated analytic servers but also network video recorders (NVR) and intelligent cameras. Cameras with built-in analytics are recommended when only single view needs to be analyzed or when using VMS without built-in analytics - even a third-party solution. As the intelligent cameras don't depend on the network bandwidth and response time.
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    Klatch

    Klatch

    Klatch Technologies

    Klatch Technologies is a global data services provider helping companies and institutions collect, annotate, and process data. We assist Artificial Intelligence companies, research institutions, Machine Learning or Computer Vision projects in data labeling, data collection, content moderation, and other data projects. Our Specialists provide rapid scalability, precise accuracy, swift turnaround time, multilingual capability, and data security at a low-cost. - Data Annotation Services: Image Annotation Video Annotation Search Relevance Text NLP Annotation Text Classification Sentiment Analysis Image Segmentation LIDAR Annotation - Data Collection Services: Healthcare Training Data Chatbot Training Data & all other data collection needs - IT Managed Services: Content Moderation Ecommerce Data Categorization
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    Nexdata

    Nexdata

    Nexdata

    Nexdata's AI Data Annotation Platform is a robust solution designed to meet diverse data annotation needs, supporting various types such as 3D point cloud fusion, pixel-level segmentation, speech recognition, speech synthesis, entity relationship, and video segmentation. The platform features a built-in pre-recognition engine that facilitates human-machine interaction and semi-automatic labeling, enhancing labeling efficiency by over 30%. To ensure high-quality data output, it incorporates multi-level quality inspection management functions and supports flexible task distribution workflows, including package-based and item-based assignments. Data security is prioritized through multi-role, multi-level authority management, template watermarking, log auditing, login verification, and API authorization management. The platform offers flexible deployment options, including public cloud deployment for rapid, independent system setup with exclusive computing resources.
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    viisights

    viisights

    viisights

    viisights' behavioral recognition video-understanding technology transforms video streams into valuable & intelligent real-time actionable insights that increase urban security, safety, and resource optimization, thus creating safer and smarter cities with a higher quality of life. Infuse viisights' intelligent video analysis technology with other IoT sensors for reduced loss prevention, enhanced resource optimization, better work safety, and tighter workflow & environment control, with minimal false alerts. Recognize and predict security threats & safety hazards in transportation hubs, infrastructures, and sensitive locations by adding viisights' powerful ai video surveillance software to every video stream. viisights' highlights important events of interest within vast amounts of video content in real-time and from diverse sources and points of view. viisights’ in-cabin monitoring platform keeps vehicle occupants safe, secure, and vehicle protected when using shared mobility.
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    Labellerr

    Labellerr

    Labellerr

    Labellerr is a data annotation platform designed to expedite the preparation of high-quality labeled datasets for AI and machine learning models. It supports various data types, including images, videos, text, PDFs, and audio, catering to diverse annotation needs. The platform offers automated annotation features, such as model-assisted labeling and active learning, to accelerate the labeling process. Additionally, Labellerr provides advanced analytics and smart quality assurance tools to ensure the accuracy and reliability of annotations. For projects requiring specialized knowledge, Labellerr offers expert-in-the-loop services, including access to professionals in fields like healthcare and automotive.
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    IBM Video Streaming
    IBM Watson Media solutions enable you to infuse AI throughout your media workflow or video library - unearthing opportunities to improve viewer engagement, video analytics, delivery, and monetization. IBM Enterprise Video Streaming can power video-based communications ranging from employee town halls, to trainings and department meetings, to digital events – boosting engagement from virtually anywhere. Through a cloud-based solution, alleviating costly updates and continued maintenance from IT, administrators can manage a security-rich end user experience. This experience includes AI-driven deep search and the ability to track usage down to the individual user level with metrics as detailed as when content was accessed, device information, geographic location of the viewer and completion percentage.
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    IBM Video Explorer Platform
    Video Explorer Platform is a full functionality platform for video analytics (computer vision) application development and deployment. It provides an application framework that could be configured and customized to adapt to customers’ business requirements and further integrate with customers’ business systems. It could enable an enterprise to land a video analytics solution in a very short time. Co-worked with another asset the IBM Visual Builder (IVB), the customer could benefit from one-station video analytics application development and deployment, which include image labeling, image augmentation, training, validation, and publishing to Video Explorer Platform. Provides a full functionality platform of video analytics application development and deployment, including data source management (video devices, images, offline video materials), real-time video browsing, image / slip extraction, storage, model mapping, event processing rule configuration, etc.
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    Anolytics

    Anolytics

    Anolytics

    Anolytics provides data annotation service for image, videos & text for machine learning and AI-based computer vision. Anolytics offers a low-cost annotation service for machine learning and artificial intelligence model developments. It is providing the precisely annotated data in the form of text, images and videos using the various annotation techniques while ensuring the accuracy and quality. It is specialized in Image Annotation, Video Annotation and Text Annotation with best accuracy. Anolytics is providing all leading types of data annotation service used as a data training in machine learning and deep learning. It offers Bounding Boxes, Semantic Segmentation, 3D Point Cloud Annotation and 3D Cuboid Annotation for fields like healthcare, autonomous driving or drone falying, retail, security surveillance and agriculture. Anolytics works with scalable solution, available at turnaround time and cost-effective pricing for clients across the globe.
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    Vyntelligence

    Vyntelligence

    Vyntelligence

    Boost operational efficiency and reduce risk and costs with the power of Vyn SmartVideoNotes. Video-enabled structured data capture into enterprise systems, to enhance and replace manual/text form fields in just 60 seconds. Timely, auto-labeled and rich data to drive higher compliance and productivity to save on costs as leaders gain better insight to act faster. Enterprise-grade security, open API SaaS platform designed for any workflow integration e.g. CRM (Salesforce), FSM and people systems. AI-powered Computer Vision & Natural language processing, video search and analyses deliver quantitative trends from qualitative data for richer, smarter business decisions. Bring your processes to life in a whole new way by quickly building intelligence from your field teams with vyn, so you see what’s happening and why. vyn captures SmartVideoNotes, on the go, by asking the right people the right questions at the right time - all in a minute or less.
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    Cisco Meraki MV
    Impossibly simple to deploy, configure, and manage, MV provides reliable security and valuable business insights to organizations of any scale. Secure monitoring and management of all your cameras from anywhere in the world, no extra software required. With video storage and powerful hardware, there’s no need for an NVR or extra analytics packages. Cameras automatically purchase publicly signed SSL certificates and all Meraki management data is always encrypted by default. Novel architecture places video storage on the camera, not cloud, ensuring critical network activities get the bandwidth they need. By utilizing solid-state storage on each camera, the MV family has removed the network video recorder (NVR) and its complexity from the equation. Use WAN bandwidth only when needed. Less than 50kbps of metadata streams to the cloud per camera when footage is not being viewed, eliminating excessive WAN usage.
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    intuVision VA

    intuVision VA

    intuVision

    intuVision VA offers an all-in-one, server side video analytics solution to meet a wide range of requirements, with application modules in security, retail, parking, traffic, manufacturing, and face & text detection. intuVision VA is fully integrated with popular video management systems (VMS) to add intelligence to your VMS, to analyze video and generate alerts or collect object and event data. Running on Windows or Linux, intuVision VA ingests and analyzes either live or archived video from your VMS to detect events or count objects. Upon detection, events are sent to your VMS, all event data can also be reviewed within intuVision dashboards to generate reports and email notifications. Our comprehensive application modules and flexible licensing provide access to all events of interest in any domain. For example, going beyond counting customers in a retail store with queue management, dwell time reporting, and object taken alerts.
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    Zastra

    Zastra

    RoundSqr

    Extend the platform to support annotation for segmentation. The Zastra repository will have algorithms that support segmentation for enabling active learning of datasets. Provide end-to-end ML ops-version control for datasets / experiments and templated pipelines, to deploy the model to standard cloud-based environments and the Edge. Incorporate advances in Bayesian deep learning in the active learning framework. Further, improve the quality of annotations using specialized architectures like Bayesian CNN. Our experts have spent countless hours hand-crafting this breakthrough solution for you. While we’re still actively adding features to the platform, we just couldn’t wait to take you on a test drive! Zastra’s key capabilities include Active-Learning based object classification, object detection, localization, and segmentation. We can do this for images, video, audio, text, and point cloud data.
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     Videoma Intelion
    Videoma Intelion is an Video and Audio analyzer for law enforcement and intelligence agencies that reduces investigation times to a fraction of the usual by automating the tasks of reviewing and documenting video and audio generated in surveillance, recordings or social media analysis operations. It can work either as a forensic video analysis tool, after the fact, or in ongoing investigations. Intelion is a Law Enforcement software that integrates with any VMS and processes video files, live surveillance cameras, live TV and radio broadcasts or content from online platforms massively in an unattended manner. It applies advanced, AI-based analyzers to automatically classify all that information and locate targets in near real-time. Some features: Face Biometry Object recognition Speaker ID Audio Fingerprint Speech to Text Automatic Translation
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    Colabeler

    Colabeler

    Colabeler

    Image classification, bounding box, polygon, curve, 3D localization Video trace, text classification, text entity labeling. Support custom task plugin, you can create your own label tool. Export PascalVoc XML (The same format used by ImageNet) and CoreNLP file. Supports Windows/Mac/CentOS/Ubuntu.
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    LVT Platform

    LVT Platform

    LVT Platform

    LVT’s intelligent security software is a cloud-based platform designed to monitor, analyze, respond, and manage surveillance in real-time from any smartphone or desktop. It streamlines incident detection and deterrence by automating alerts, live streaming, and video evidence with advanced features such as plain-language forensic search, remote device control, and automated deterrents like spotlights and audio talk-downs. The platform enables users to view live video streams, activate deterrence features remotely, and access recorded footage in seconds, all while managing units deployed at multiple sites. LVT’s software works in conjunction with its hardware but focuses on giving operators centralized control; they can remotely activate cameras, lights, and speakers, zoom in on threat zones, share evidence quickly, and trigger deterrent actions from anywhere.
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    Deepen

    Deepen

    Deepen

    ​Deepen AI offers advanced multi-sensor data labeling and calibration tools and services to accelerate computer vision training for autonomous vehicles, robotics, and more. Their annotation suite supports various key cases, including 2D and 3D bounding boxes, semantic and instance segmentation, polylines, and key points. The platform is AI-powered, featuring pre-labeling capabilities that can automatically label up to 80 common classes, improving productivity by seven times. It also includes machine learning-assisted segmentation, allowing users to segment objects with just a few clicks, and accurate object detection and tracking across frames to avoid duplicate efforts and save time. Deepen AI's calibration suite supports all key sensor types, such as LiDAR, camera, radar, IMU, and vehicle sensors. The tools enable seamless visualization and inspection of multi-sensor data integrity, and calculation of intrinsic and extrinsic calibration parameters in seconds.
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    RectLabel

    RectLabel

    RectLabel

    An offline image annotation tool for object detection and segmentation. Draw polygons, cubic bezier curves, line segments, and points. Draw oriented bounding boxes in aerial images. Draw key points with a skeleton. Draw pixels with brushes and superpixels. Read/write in PASCAL VOC xml and YOLO text formats. Export to CreateML object detection and image classification formats. Export to COCO, Labelme, YOLO, DOTA, and CSV formats. Export indexed color mask images and grayscale mask images. Settings for objects, attributes, hotkeys, and labeling fast. Customize the label dialog to combine with attributes. 1-click buttons speed up selecting the object name. Auto-suggest works for more than 5000 object names. Search object, attribute, and image names in a gallery view. Automatic labeling using Core ML models. Automatic text recognition using OCR. Video to image frames, augment images, etc. Supports English, Chinese, Korean, and 11 other languages.
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    Bosch Essential Video Analytics
    Essential Video Analytics 6.60 by Bosch is the system of choice when you need reliable video analytics for small and medium businesses, large retail stores, commercial buildings, and warehouses. The software system reliably detects, tracks, and analyzes moving objects while suppressing unwanted alarms from spurious sources in the image. Advanced tasks like multiple line crossing, loitering, crowd density estimation, and people counting are available. Object filters based on size, speed, direction, aspect ratio, and color can be defined. For calibrated cameras, the software automatically distinguishes between the object types upright person, car, bike, and truck. With Essential Video Analytics 6.60, ease of setup has been improved by providing scenario defaults and allowing alarm field combinations via the user interface. It allows you to record all of the object information and change the rules even after the fact for fully configurable forensic search.
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    SenseVideo

    SenseVideo

    SenseTime

    Video understanding and generation are implemented based on deep learning algorithms and technologies involving vision, text, and audio to extract video features. The product can be used in photo album management, smart searching, personalized video recommendation, and other scenarios. It provides smart video editing tools and facilitates "secondary creation" based on video features to output high-quality, high definition and stylish video contents. It covers every video industry chain from video production, editing and processing, video reviewing, to video transmission, smart distribution and video consumption. Supports local and cloud deployment, and quick integration at a low cost. Multi-dimensional, all-scenario coverage, and supports flexible customization according to client requirements. Powerful video analysis and processing capabilities, industry-leading algorithms, low recall rates and high-performance standards.
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    Diffgram Data Labeling
    Your AI Data Platform Quality Training Data for Enterprise Data Labeling Software for Machine Learning Free on your Kubernetes Cluster Up to 3 Users. TRUSTED BY 5,000 HAPPY USERS WORLDWIDE Images, Video, Text Spatial Tools Quadratic Curves, Cuboids, Segmentation, Box, Polygons, Lines, Keypoints, Classification Tags, and More Use the exact spatial tool you need. All tools are easy to use, fully editable, and powerful ways to represent your data. All tools are available in Video. Attribute Tools More Meaning. More degrees of freedom through: Radio buttons. Multiple select. Date pickers. Sliders. Conditional logic. Directional Vectors. And more! You can capture complex knowledge and encode it into your AI. Streaming Data Automation Up to 10x Faster then manual labeling
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    Keylabs

    Keylabs

    Keylabs

    Keylabs.ai is an advanced image and video annotation platform designed by experts to provide high-performance data annotation, management features, and unique operations management capabilities. With a proven track record of handling large datasets efficiently and accurately, Keylabs.ai is trusted by global technology leaders. It combines innovative technology with a user-centric design to support projects of any type and scale. The platform supports various image and video annotation dataset formats, including semantic segmentation, cuboid 3D point cloud, polygons, key points, lane annotation, and bitmask. Additionally, Keylabs.ai allows seamless integration of client models to meet specific project requirements. The annotation process is enhanced with exclusive post-annotation tools like Edge Smooth and Healer, ensuring greater precision and efficiency. By simplifying image annotation, Keylabs.ai provides AI developers with a high degree of flexibility to optimize workflow.
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    Dream Machine
    Dream Machine is an AI model that makes high quality, realistic videos fast from text and images. It is a highly scalable and efficient transformer model trained directly on videos making it capable of generating physically accurate, consistent and eventful shots. Dream Machine is our first step towards building a universal imagination engine and it is available to everyone now! Dream Machine is an incredibly fast video generator! 120 frames in 120s. Iterate faster, explore more ideas and dream bigger! Dream Machine generates 5s shots with a realistic smooth motion, cinematography, and drama. Make lifeless into lively. Turn snapshots into stories. Dream Machine understands how people, animals and objects interact with the physical world. This allows you to create videos with great character consistency and accurate physics. Ray2 is a large–scale video generative model capable of creating realistic visuals with natural, coherent motion.
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    piXserve

    piXserve

    piXlogic

    piXserve™ is an enterprise class application that automatically creates a searchable index of visual content in media files. piXserve scans digital images and videos, stores searchable descriptions of its contents, and assigns keywords to things it recognizes. piXserve can detect and recognize individual faces, objects, scenes, and text strings in a variety of languages. You can put piXserve to work on your archived media and on your live video sources. Use piXserve to help you discover, flag, and keep track of content. Let piXserve help you discover relationships between content from different sources and different types. Integrate piXserve functionality into your analytical pipeline and advance your understanding of events, situations, and ability to make actionable predictions. A comprehensive set of features and capabilities creates the foundation for solutions to a broad range of use cases.
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    UHRS (Universal Human Relevance System)
    When you need transcription, data validation, classification, sentiment analysis, or other related tasks, UHRS can give you what you need. We provide human intelligence to train machine learning models to help you solve some of your most challenging problems. We make it easy for judges to access UHRS anywhere, at any time. All that’s needed is an internet connection, and judges are good to go. Work on tasks like video annotation in just a few minutes. With UHRS, you can classify thousands of images quickly and easily. Train your products and tools with improved image detection, boundary recognition, and more with high quality annotated image data. Classify images, semantic segmentation, object detection. Validating audio to text, conversation, and relevance. Identify sentiment of a tweet, and document classification. Ad hoc data collection tasks, information correction/moderation, and survey.
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    medialoopster

    medialoopster

    Nachtblau

    Assign time-referenced metadata to your videos, search the contents of your available assets, and find the right video content in the blink of an eye. Optimise your video workflow and automated the workflows in your production processes such as importing, transcoding, file transfers, and archiving. Artificial intelligence (AI) services allow for the automated generation of time-referenced metadata related to your videos, and medialoopster can manage this enormous quantity of metadata! Entire workflows are optimally supported. This includes material entry, research and processing in the editing system, as well as distribution and archiving and even searching for (and reusing) existing assets. AI technologies can be used to automatically extract video workflows, massively boosting your productivity.
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    VideoPoet
    VideoPoet is a simple modeling method that can convert any autoregressive language model or large language model (LLM) into a high-quality video generator. It contains a few simple components. An autoregressive language model learns across video, image, audio, and text modalities to autoregressively predict the next video or audio token in the sequence. A mixture of multimodal generative learning objectives are introduced into the LLM training framework, including text-to-video, text-to-image, image-to-video, video frame continuation, video inpainting and outpainting, video stylization, and video-to-audio. Furthermore, such tasks can be composed together for additional zero-shot capabilities. This simple recipe shows that language models can synthesize and edit videos with a high degree of temporal consistency.
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    Social DNA

    Social DNA

    Social DNA

    Social DNA is the first frame-by-frame TikTok hook analyzer built for agencies and social media managers. While traditional analytics tools show what happened (views, likes, engagement rates), Social DNA shows why it happened—and what to do next. Our platform extracts 7-8 frames from the critical first 3-6 seconds of TikTok videos, scores hook effectiveness (0-10), classifies hook types (Question Hook, Pattern Break, Problem Reveal, etc.), and maps attention mechanics including motion patterns, text strategy, emotional triggers, and visual contrast. In under 60 minutes, we generate three comprehensive white-label reports: Performance Intelligence Report: Social DNA score (0-100), benchmarked metrics vs 2025 standards, viral factors, pattern analysis Strategy Blueprint: Hook playbook showing which hooks work and why, 30-day content roadmap, posting strategy, A/B testing framework Content Execution Guide: 7 shoot-ready video concepts with full scripts, shot lists, frame-by-frame.
    Starting Price: £49.99 one-time payment
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    Appen

    Appen

    Appen

    The Appen platform combines human intelligence from over one million people all over the world with cutting-edge models to create the highest-quality training data for your ML projects. Upload your data to our platform and we provide the annotations, judgments, and labels you need to create accurate ground truth for your models. High-quality data annotation is key for training any AI/ML model successfully. After all, this is how your model learns what judgments it should be making. Our platform combines human intelligence at scale with cutting-edge models to annotate all sorts of raw data, from text, to video, to images, to audio, to create the accurate ground truth needed for your models. Create and launch data annotation jobs easily through our plug and play graphical user interface, or programmatically through our API.
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    Verizon Intelligent Video
    See what’s happening with your assets with Verizon Intelligent Video. Our smart surveillance solution will gather, analyze, transmit and store video data to help you optimize your investment in video surveillance, improve situational awareness and quickly make decisions that help safeguard your community or organization. Verizon Intelligent Video provides advanced video analytics, including archived video synopsis, near-real-time video analysis and dashboard visualization metrics. Remote personnel and locations, often on the edge of operations, can be prime targets, as can be high-traffic areas vital to your workforce and communities, places like offices, parks, medical centers, campuses, utilities, construction sites, and bridges. You can help protect your critical assets wherever they are by leveraging technology to enable better, quicker decisions. Intelligent Video is a hosted and managed comprehensive remote monitoring solution that provides enhanced situational awareness.