Indigenous Video Analytics Solution for Surveillance

Prof. Ganesh Ramakrishnan

A software solution to analyze real-time and offline videos and share intelligent insights. A software solution to analyze real-time and offline videos and share intelligent insights. Powered by AI based analyses, our software delivers insight, hindsight and foresight across a wide range of use cases.

Commercially Available with SrivisifAI Technologies Pvt Ltd, Pune

Cameras have emerged as very effective and important aspect of security and monitoring. The software solution analyses videos, provides summarization and raises real time actionable alerts. It also facilitates smart video indexing and search. The solution turns a camera into a tool allowing prevention and detection of events in a proactive manner. This indigenous solution is powered by artificial intelligence-based analysis.

Breakdown of a video by our framework in spatial domain as shown in two (for illustration) different colors, and temporal domain as shown in dotted curves. The output of this module is a dataset of multiple clips, each containing a unique vehicle For more details visit :

https://www.cse.iitb.ac.in/~ganesh/videosurvellianceanalytics/

Capabilities
1. Face Recognition                                                         9. Expected Human count
2. Human Intrusion Detection                                           10. Proximity Detection
3. Crowd Detection                                                          11. Camera Offline
4. Human Loitering Detection                                           12. No Parking Zone Violation
5. Motion / Inactivity Detection                                          13. Vehicle Driving Direction
6. Human Garment Color Detection                                  14. Vehicle Colour Detection
7. Automatic License Plate Recognition                            15. Vehicle Loitering Detection
8. Human Absence                                                            16. Camera Tampering Detection

USP
• Scalable architecture to support 1000+ Cameras      
• Constant improvements in AI algorithms
• Real-time Dashboards                                               
• Integration with existing solutions
• On-Cloud, On-Premise and Hybrid deployment        
• Build customer-specific use-case based workflow
• Modular architecture to accommodate hardware upgrades
For more details visit : https://www.cse.iitb.ac.in/~ganesh/videosurvellianceanalytics/