safety
safety
AI-Powered Child Detection Leveraging Machine Vision
AI-Powered IoT Monitoring ,AI-Powered IoT Monitoring
Introduction
Australasian Airport sought an automated solution to ensure child safety on luggage carousels and conveyor belts.
Studio Graphene engineered an AI system seamlessly integrating with the airport’s surveillance IP cameras, utilising Real-Time Streaming Protocol (RTSP) for efficient real-time monitoring.
When a child is detected, the system swiftly responds with actions like triggering alarms or halting the conveyor belt. Its adaptability extends beyond the airport for authorised personnel, thanks to a custom setup that adjusts to confidence levels, effectively preventing false alarms.
Solution
Leveraging computer vision to distinguish between luggage and potential safety concerns, integrating SCADA (Supervisory Control and Data Acquisition) technology, which controls industrial processes by gathering real-time data from remote locations to maintain equipment and conditions.
When a child is detected, the system swiftly responds with actions like triggering alarms or halting the conveyor belt. Its adaptability extends beyond the airport for authorised personnel, thanks to a custom setup that adjusts to confidence levels, effectively preventing false alarms.
Results
Elevated surveillance via a core AI platform built on OpenCV and Python designed to efficiently detect human presence vs baggage.
Operational unity through bespoke integration with SCADA technology, implementing automatic alerts and belt halting, precisely tailored to client-defined parameters.
Flexible deployment across various locations.
