Joint AI Research for Video Instances and Streams (JARVIS) is AI-powered video analytics created by Staqu Technologies tools equipped with a fully functional Video Management System (VMS) and various AI modules including:

Thermal Imaging integration for Fever Detection
PPE Detection
Hygiene Compliance Detection
Crowd Monitoring
Standard Operating Procedure adherence
Footfall analysis
Heatmap analysis
Productivity analysis
Virtual Wall Creation and Object Flow Tracking
Violence Detection
Automatic Number Plate Recognition
Fire and Smoke Detection
Camera Tampering Detection
Vehicle Detection, Tracking & Wrong Direction Movement Alerts
Unidentified Object Detection
Queue Management
Intrusion Detection
Social Distancing Detection
Customer Demographics Analysis
Facial Recognition based Attendance Management
Exhaustive Video Management System with NxN video wall support, DVR recordings, and streaming
Customized Event of Interest Creation
Detailed Audit Reports and Empirical Data Analysis
Global Healthcheck of CCTVs
User Role Management and Secure Sign-in
User Logging for Security Audits
Audit Reporting

Our Customers

JARVIS is sought after by the Facility Managers, Security Incharges, Admins/HR teams and various other stakeholders in an organization. JARVIS’ AI modules can be used by ops in charge and other personnel to ensure that there is an increase in efficiency and also adherence to company-wide norms and procedures.

Advantages of using JARVIS

In the current scenario, surveillance through CCTVs are mostly considered for post-event analysis and used passively. Alternatively, a large number of security-staff are deployed in the command control-room to watch every CCTV stream on a video wall and report any suspicious activities manually via phone call or email. But for large-scale monitoring tasks, this system fails tremendously because of workforce limitations and the myriad of human errors that the system is prone to. Automation has to be applied in order to scale and Staqu’s JARVIS solution ensures that this can be achieved without replacing the existing monitoring infra.

Current Limitations

It is nearly impossible to manually monitor hundreds and thousands of CCTV cameras across multiple screens 24x7 to ensure 360-degree security and compliance across norms
Existing CCTV cameras as well as Video Management Softwares (VMS) are not smart in nature and don’t have the capability to intelligently identify suspicious activities and give real-time security alerts

Joint AI Research Video Instances & Streams-JARVIS

kiadó: Staqu Technologies Private Limited