Automated Object Detection and Tracking System for Enhanced Safety and Security Applications

Abstract

Visual agnosia is deterioration in the recognition of visually presented objects. It is not due to vision deficiencies (acuity, visual field, and scanning), language, memory, or intellect. Most visual agnosia cases are seen in people who have experienced extensive brain damage; there are also cases of young children with minor brain damage during their growing years acquiring these symptoms. Commonly, visual agnosia cannot recognize an object. An image-to-speech converter detects and tracks the objects in the image and video. The input is provided as an image/video to the system and detects the objects present. The same can be done with tracking; if images/videos/live are provided, it will detect and track objects.

Differencing frames are captured from the camera at regular intervals of time. The difference is estimated from the consecutive frames. Object detection can run on slow frame rates, looking for objects to lock onto, and once those objects are detected and sealed, object tracking can run faster. The proposed system can also be applied to fire detection in a forest area. This can easily detect the objects in the disaster instead of watching manually. Applying the idea in a camera/drone and allowing it to capture an image or track the location lively and inform the things present in that location helps detect the objects in that particular region. At the same time, the proposed system can also be used to identify terrorists and the weapons in their places. Applying the concept to the camera or drone and allowing it to monitor the area helps to determine the things present there, enabling cops to find the terrorist. The idea can also be applied in cars to prevent car damage and accidents. By fixing the idea and camera, it tracks the objects near the vehicle, alerts the driver, and prevents an accident.