AI-Based Video Analytics Solution for Tracking Flying Objects

Project Overview:

In automotive manufacturing, precise component tracking is essential. During airbag deployment tests, buttons often fly off with no tracking mechanism, posing safety and quality concerns. This project aimed to implement an AI-based video analytics solution to detect and track these flying buttons in real-time.

Problem Statement: 

Airbag deployment tests revealed that buttons would fly off without being tracked, potentially leading to undetected defects and safety risks. An AI-based solution was needed to ensure accurate tracking and comprehensive data capture during these tests.

Solution Proposed: 

The proposed solution utilized a customized AI-based video analytics system. High-speed cameras captured every frame of the airbag deployment, while advanced machine learning algorithms detected and tracked flying buttons in real-time. The system also captured and analyzed data displayed on the notice board.

Impact This AI-based solution provided:

• Enhanced Detection Accuracy: High precision in detecting and tracking fast-moving buttons.
• Increased safety and quality control: Detection and correction of the flaw take place immediately.
• Increased productivity and data analysis: Trend monitoring and analysis improve a company’s decision-making practices.

This solution, on implementation, increased safety factors related to airbag deployment testing processes substantially; therefore, it assured much safer products to end customers.