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.
Learn more
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.
Learn more
Gorilla IVAR
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.
Learn more
Google Cloud Video AI
Precise video analysis that recognizes over 20,000 objects, places, and actions in video. Extract rich metadata at the video, shot, or frame level. Create your own custom entity labels with AutoML Video Intelligence. Gain near real-time insights with streaming video annotation and object-based event triggers. Build engaging customer experiences with highlight reels, recommendations, and more. Recognize over 20,000 objects, places, and actions in stored and streaming video. Extract rich metadata at the video, shot, or frame level. Create your own custom entity labels with AutoML Video Intelligence. Search your video catalog the same way you search documents. Extract metadata that can be used to index, organize, and search your video content, as well as control and filter content for what’s most relevant. Gain insights from video in near real-time using streaming video annotation and trigger events based on objects detected.
Learn more
