That is exactly what this Raspberry Pi object detection project demonstrates. You can build a fully working object detection ...

In April, for the first time ever, an Earth observation satellite found what it was looking for, all on its own.

At BIT Mesra in Ranchi, a three-woman team has trained AI to detect and analyse lunar craters. The ISRO-backed work could ...

Abstract: This work presents a low-cost FPGA-based accelerator for real-time object detection and classification using a compressed YOLOv3-Tiny model. Existing FPGA-based CNN accelerators excel in one ...

They stay as code demos. A YOLO model running in a notebook is not a complete final-year project. It becomes a strong academic project only when it has a clear use case, dataset logic, model pipeline, ...

Human ingenuity is a remarkable thing, but occasionally, it takes a wrong turn into a cul-de-sac of absolute absurdity. We often see people facing a simple, everyday problem and deciding that the most ...

Unlike previous studies, this work presents the performance of YOLOv3, YOLOv5, and YOLOv8 on a dataset processed in RGB, HSV, LAB, and YCbCr color spaces for a deeper analysis of model performance ...

Vehicle detection is crucial for intelligent decision support in transportation systems. However, real-time detection of vehicles is challenging due to geometric variations of vehicles and complex ...

The core file description is as follows: We have provided the complete implementation codes of three core innovative modules of GDD-YOLO, which are the key to optimizing the accuracy and computational ...

Realtime fall detection from webcam using OpenCV (no YOLO). State machine + ML classifier to trigger alarms and send alerts to iOS app via WebSocket. fall-detection-system/ ├── core/ # Core detection ...