At the airport, finding dangerous objects in scanned baggage is essential. Even the best security agents can make mistakes.
A deep learning algorithm can analyze x-ray images of bags, identifying potential threats for security professionals in real-time.
X-ray machines are used at security checkpoints to identify harmful objects in baggage.
Security professionals who review these x-rays are prone to fatigue and boredom, but missing a threat could have serious implications.
A deep learning system uses convolutional object detection to scan x-ray images for security threats at airport checkpoints.
The system highlights potential threats for security professionals in real-time.
The system finds prohibited items with high accuracy and minimal false alarms.
Agents stay sharp by focusing on high-potential threats.