Real-Time Object Detection - GitHub
...The Deep Learning Engine: YOLO (You Only Look Once) At the core of this project is a quantized YOLO (You Only Look Once) neural network. Unlike traditional object detection models that apply classifiers to multiple different regions of an image one by one, YOLO treats object detection as a single regression problem. It looks at the entire image exactly once, passing it through a single ......
https://github.com/jatinbalajisailada/realtime-object-detection
SimpleISP-YOLO: A Lightweight Model for Low-Light Image ... - Springer
...To address these issues, the current study presents a novel low-light image enhancement framework, designated as SimpleISP-Net. Inspired by Image Signal Processing (ISP), SimpleISP-Net simulates the simplified ISP process by performing only color correction and gamma correction on low-light images to achieve image enhancement....
https://link.springer.com/chapter/10.1007/978-981-96-0313-8_17
High-accuracy real-time mouth recognition and 3D positioning for ...
...Meal-assisted robots (MARs) can significantly aid individuals with limited upper-limb mobility to eat independently. To develop an autonomous feeding system for MARs, this paper presents a novel approach that integrates the You Only Look Once model with a binocular camera for precise mouth recognition and positioning. In our mouth recognition experiments, the proposed method achieves an ......
https://link.springer.com/article/10.1007/s00371-025-04064-8
AhmadNasrulla/yolo-realtime-object-detection - GitHub
...YOLO Real-Time Object Detection Project ? Project Overview This project implements YOLO (You Only Look Once), a state-of-the-art, real-time object detection system. It detects objects in images and videos with high speed and accuracy, making it ideal for real-time applications such as surveillance, self-driving cars, and more....
https://github.com/AhmadNasrulla/yolo-realtime-object-detection
AdaptiveISP: Learning an Adaptive Image Signal Processor for Object ...
...Abstract Image Signal Processors (ISPs) convert raw sensor signals into digital images, which significantly influence the image quality and the performance of downstream computer vision tasks. Designing ISP pipeline and tuning ISP parameters are two key steps for building an imaging and vision system. To find optimal ISP configurations, recent works use deep neural networks as a proxy to ......
https://arxiv.org/html/2410.22939v1
4Kp30 Multi-Sensor Camera with AI Inference Solution System Example ...
...The End User must license and download the models directly from Ultralytics. The hardware includes a multi-sensor input video switch feeding into an Image Signal Processing (ISP) subsystem. The ISP is a video processing pipeline incorporating many VVP IP cores such that the raw sensor image data can be processed into RGB video data....
https://altera-fpga.github.io/rel-25.1/embedded-designs/agilex-5/e-series/modular/camera/camera_4k_ai/camera_4k_ai/
Analyzing the enhancement of CNN-YOLO and transformer based ... - Nature
...Convolutional Neural Networks (CNNs) and You Only Look Once (YOLO) object detection models have proven especially effective for real-time and high-accuracy image classification and localization tasks....
https://www.nature.com/articles/s41598-025-26645-2
Abstract - arXiv.org
...Abstract Image Signal Processors (ISPs) convert raw sensor signals into digital images, which significantly influence the image quality and the performance of downstream computer vision tasks. Designing ISP pipeline and tuning ISP parameters are two key steps for building an imaging and vision system. To find optimal ISP configura-tions, recent works use deep neural networks as a proxy to ......
https://arxiv.org/pdf/2410.22939
A Tightly Coupled AI-ISP Vision Processor - ACM Digital Library
...To achieve high-quality and high-resolution image processing, this work presents a novel vision processor that facilitates deep learning-enhanced image processing pipelines. At the system level, by identifying that a divide-and-conquer approach is ......
https://dl.acm.org/doi/10.1109/TCSVT.2024.3510939
YOLO: Redefining Real-Time Object Detection Accuracy and Efficiency
...YOLO: Redefining Real-Time Object Detection Accuracy and Efficiency Abstract: Image classification, also known as object detection, is an advanced form of computer vision in which a network can predict objects in an image and point them out as bounding boxes....
https://ieeexplore.ieee.org/document/10731055