Object Detection

This cutting-edge computer vision project pushes the boundaries of object detection and image processing. Our innovative system, built on the powerful YOLOv4 algorithm, specializes in detecting and manipulating screen content in real-time.

Technology Stack

• Operating System: Windows
• Programming Languages: Python, C++
• Frameworks: Darknet, YOLOv4, OpenCV

Dataset

We utilized a combination of standard and custom datasets to ensure robust performance:

• COCO dataset
• Open Images Dataset v6 (OID)
• Custom dataset (2000 images per class)

Hardware Requirements

Our system leverages high-performance NVIDIA RTX GPUs to achieve near real-time object detection capabilities.

Key Features

• High-speed Detection: Achieves near real-time object detection on high-end devices
• Versatility: Capable of detecting multiple object classes simultaneously
• Accuracy: Delivers high precision and recall rates, even in challenging scenarios

Our Use Case

We trained our YOLOv4 model on a custom dataset of TV, monitor, and laptop screens. The system can:

1. Accurately detect all screens within a given frame
2. Utilize advanced image processing to replace detected screen content with custom images or videos

Real-World Applications

Autonomous Vehicles

Our system enhances pedestrian detection, traffic sign recognition, and obstacle avoidance, contributing to safer self-driving technologies

Retail Analytics

In the retail sector, our object detection capabilities enable advanced inventory management, customer behavior analysis, and automated checkout systems

Security and Surveillance

The high-speed, accurate detection offered by our system is ideal for facial recognition, intruder detection, and crowd monitoring in security applications

Healthcare Imaging

In medical settings, our technology assists in analyzing medical images, potentially aiding in early disease detection and improving diagnostic accuracy

Industrial Automation

For manufacturing and quality control, our system can identify defects, track products, and enhance robotic vision systems for improved efficiency

Augmented Reality

The real-time screen detection and replacement capabilities open up new possibilities for immersive AR experiences in gaming, education, and marketing