Problem Statement:
In today’s ever-expanding urban environments, unaccounted or misplaced baggage left neglected in public spaces poses a significant challenge for public safety and security. With the continuous movement of people through transit hubs, commercial areas, along restricted areas, public spaces, etc., unattended baggages can lead to security risks, fake alerts, chaos and unnecessary deployment of precious resources. It is becoming increasingly difficult to monitor and surveil such spaces with traditional means as current technology lacks the intelligence necessary to avoid delayed response times, fake alarm rates and unnecessary resource deployment.

Solution:
The proposed solution involves AI-powered intelligent safety and surveillance monitoring system integrated with advanced IoT devices and Computer Vision Technology across important urban areas. This system would automatically detect unattended suspicious baggage in public spaces like restricted areas, commercial areas, transit hubs, etc. by analyzing real-time video feeds to detect anomalies and patterns. This would result in faster response times, preemptive actions, and optimal use of available resources., thus preventing potential security threats.

Aimpact Value:

1. Object Detection – Identification and segregation of baggages using Object Detection
2. Real-Time Surveillance – Real-time feedback from cameras and sensors
3. Pattern Recognition – Image analysis and pattern recognition to identify anomalies
4. Automatic Alerts – Generation of automatic alerts if baggage is unattended for predefined time
5. Fast Response Time – Generation of prompt alerts to concerned authorities

Industries:

1. Travel & Logistics
2. Public Services
3. Healthcare
4. High Tech