That is exactly what this Raspberry Pi object detection project demonstrates. You can build a fully working object detection ...
At BIT Mesra in Ranchi, a three-woman team has trained AI to detect and analyse lunar craters. The ISRO-backed work could support crater dating, navigation planning and future Moon landing missions.
Omnidirectional cameras are widely popular as they capture a full 360-degree view. They are often utilized for surveillance, traffic analysis, and autonomous systems. But the same wide-angle vision ...
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, ...
Abstract: This work presents a low-cost FPGA accelerator for real-time object detection and classification using a compressed YOLOv3-Tiny model. Existing FPGA-based CNN accelerators excel in one ...
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 ...
Researchers at UMass Lowell have uncovered an innovative way to spot Alzheimer’s disease long before the first official diagnosis. By using machine learning to analyze clinical notes in electronic ...
T his fall, a student told me she began using generative AI only after learning that stylistic features such as em dashes were rumored to trigger AI detectors. To protect herself from being flagged, ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results