Object Detection and Tracking

projects

At AitoeLabs, I worked with a team of engineers to develop real-time video analytics solutions for security applications. For ATM surveillance, we developed deep learning models and computer vision algorithms operating on live video streams.

I worked on the object detection and tracking pipeline, developing algorithms to detect and track people in real-time video. The tracking system assigned unique identities to detected individuals, enabling their movement and behavior to be analyzed over time.

ATM surveillance object detection
Figure: Real-time detection and tracking of people in a live video stream

The system was used to identify potentially suspicious situations, including excessive occupancy and prolonged loitering inside ATM premises. Detected events could trigger alerts for security personnel or the responsible organization.

Dimple Bhuta
Authors
Robotics Engineer & Researcher
Robotics engineer and researcher with 10+ years of experience specializing in robotics and computer vision.