01Cloud video AI
Google Cloud Video Intelligence
Google Cloud API that analyses video to detect objects, scenes, text and shot changes.
Best for: Labelling and searching large video libraries.
Visit Google Cloud Video Intelligence →Video Data Analytics Solutions
Cloud video intelligence services, enterprise video management platforms and open-source computer vision toolkits that detect, track, search and summarise what happens on camera.
12Platforms & tools
3Categories
5FAQs answered
02Cloud video AI
Amazon Rekognition
AWS computer vision service that analyses images and stored and streaming video for objects, faces and activities.
Best for: Video and image analysis inside AWS.
Visit Amazon Rekognition →03Cloud video AI
Azure AI Video Indexer
Microsoft service that extracts insights from video and audio such as transcripts, faces, topics and scenes.
Best for: Indexing media archives for search.
Visit Azure AI Video Indexer →04Cloud video AI
Twelve Labs
Video understanding platform for searching and analysing video with natural-language queries.
Best for: Semantic video search.
Visit Twelve Labs →05Enterprise & surveillance video
Genetec
Security and public-safety software that combines video management with analytics and access control.
Best for: Security operations with unified video.
Visit Genetec →06Enterprise & surveillance video
Milestone XProtect
Open-platform video management software with an ecosystem of analytics integrations.
Best for: Large camera estates with third-party analytics.
Visit Milestone XProtect →07Enterprise & surveillance video
NVIDIA DeepStream SDK
Toolkit for building GPU-accelerated pipelines that analyse streaming video from many cameras.
Best for: High-throughput video analytics on NVIDIA hardware.
Visit NVIDIA DeepStream SDK →08Computer vision toolkits
Ultralytics YOLO
Popular open-source family of real-time object detection, segmentation and tracking models with documentation.
Best for: Fast object detection and tracking.
Visit Ultralytics YOLO →09Computer vision toolkits
OpenCV
The widely used open-source computer vision library for image and video processing.
Best for: Classical vision and video processing.
Visit OpenCV →10Computer vision toolkits
Google MediaPipe
Ready-made solutions for on-device vision tasks such as pose, hand and object detection.
Best for: Real-time vision on phones and edge devices.
Visit Google MediaPipe →11Computer vision toolkits
Roboflow Supervision
Open-source toolkit for building computer vision pipelines, including tracking, zones and annotation.
Best for: Counting, tracking and zone analytics.
Visit Roboflow Supervision →12Computer vision toolkits
Frigate
Open-source network video recorder with local real-time object detection for IP cameras.
Best for: Self-hosted camera analytics.
Visit Frigate →Choosing the right approach
Match your requirement to a starting point, then compare vendors.
| Search or label a video archive | A cloud video intelligence service or Twelve Labs |
|---|---|
| Security cameras at scale | Video management software with analytics, such as Genetec or Milestone |
| Run models on your own GPUs | NVIDIA DeepStream with a detector such as YOLO |
| Counting and tracking people or vehicles | Ultralytics YOLO with Supervision |
| On-device, low power | MediaPipe or models on edge hardware |
| Privacy-sensitive sites | Self-hosted tools such as Frigate and on-premises processing |
Related pages on PeterIndia.net
Neighbouring directories and hubs.
Image Data Analytics SolutionsStill-image analysis tools.Audio Data Analytics SolutionsThe sound track of the video.Edge-Based Data Analytics SolutionsAnalyse video near the camera.Edge-Based Streaming Data AnalyticsStreams at the edge.Computer VisionThe computer vision hub.Edge AIOn-device intelligence.Streaming Analytics PlatformsProcess events from video streams.Data AnalyticsThe data analytics hub.
Frequently asked questions
Quick answers.
What is video data analytics?
It is extracting information from video: detecting and tracking objects and people, recognising activities, reading text, indexing scenes and making video searchable.
Where should video be analysed, the cloud or the edge?
Video is bandwidth-heavy, so many systems analyse it near the camera and send only events or metadata to the cloud. See the edge data analytics directory.
How accurate is video analytics?
It depends on lighting, camera placement, resolution and the model. Test on footage from your own sites before committing.
What about privacy?
Video of people is sensitive personal data in many places. Check consent, retention, signage and local regulation, and avoid unneeded biometric features.
What hardware is required?
Real-time analytics on many streams usually needs GPUs or dedicated accelerators. Small deployments can run lighter models on edge devices.
Descriptions are summaries of each vendor's own positioning, checked against its website on 4 October 2026. Product names and offerings change often, so confirm details on the vendor site before deciding.