At BIT Mesra in Ranchi, a three-woman team has trained AI to detect and analyse lunar craters. The ISRO-backed work could ...
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 ...
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 ...
AND SHE’S AT CITY HALL WITH THE CONCERN OVER THE SYSTEM’S EFFECTIVENESS, BALTIMORE CITY SCHOOLS STARTED USING THE EVOLVE PROGRAM IN 2024. THEY SAY LAST SCHOOL YEAR, IT DETECTED NO WEAPONS IN THIS ...
Earnings announcements are one of the few scheduled events that consistently move markets. Prices react not just to the reported numbers, but to how those numbers compare with expectations. A small ...
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 ...
YOLO (You Only Look Once) is one of the most influential algorithms in the field of computer vision, specifically designed for real-time object detection. Unlike traditional approaches that first ...
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