thereby providing new solutions for real-time image processing and edge intelligence devices. The quantum image edge detection algorithm is based on quantum state encoding and quantum convolution ...

For situations like ADAS, engineers develop algorithms ... allowing for real-time decision-making for navigation, obstacle detection, and safety features without relying on cloud processing.

Abstract: This paper presents an object detection method using YOLO technique (You Only Look Once) based deep learning algorithm to help ... solution combines edge processing and cloud-based analysis ...

This capability is achieved through image processing and object recognition ... outputs = net.forward(output_layers) for output in outputs: for detection in output: scores = detection[5:] class_id = ...

The researchers are working on it to enhance object detection and help VIP ... this proposed technique provides enough output in comparison with several other machine learning and image processing ...

YOLOv7 is already being regarded as a milestone in the object detection industry. Shortly after the YOLOv7 paper was published, it turned up as the fastest, and most accurate real-time ... algorithm ...

1 School of Information and Computer, Anhui Agricultural University, Hefei, China 2 School of Electrical Engineering and Automation, Wuhan University, Wuhan, China With the development of bionic ...

For object detection algorithms ... the original network is < -1, the output will become 0, which will invalidate the neuron and affect the recognition of surface ships. To ensure the real-time ...