Algorithm Real-Time Optimization

Project Objective:

To significantly enhance the performance of the existing tracking system by optimizing its architecture, algorithms, and computational resources to achieve a sustained frame rate of 200 frames per second (FPS). This optimization will enable real-time, high-precision tracking capabilities for demanding rapid object detection and localization.

Problem Statement:

The current tracking system exhibits performance limitations, hindering its application in scenarios requiring real-time responsiveness and high accuracy. By identifying and addressing bottlenecks in the system, we aim to reduce latency, improve tracking precision, and enable smooth operation at a target frame rate of 200 FPS.

Outcomes:

A significantly optimized tracking system capable of achieving a sustained frame rate of 200 FPS. Reduced latency in object detection and localization.