Vision‐based recognizing and positioning of electronic components on the PCB (printed
circuit board) can improve the quality inspection efficiency of electronic products in the …

Autonomous driving is an important branch of artificial intelligence, and real-time and
accurate object detection is key to ensuring the safe and stable operation of autonomous …

The integrated fast detection technology for electric bikes, riders, helmets, and license plates
is of great significance for maintaining traffic safety. YOLOv5 is one of the most advanced …

To address the threat of drones intruding into high-security areas, the real-time detection of
drones is urgently required to protect these areas. There are two main difficulties in real-time …

Since UAVs usually fly at higher altitudes, resulting in a more significant proportion of small
targets after imaging, this poses a challenge to the target detection algorithm at this stage; in …

Currently, with the widespread application of embedded technology and the continuous
improvement of computational power in mobile terminals, the efficient deployment of …

Object detection is a valuable but challenging technology in computer vision research.
Although existing methods could attain satisfactory results on high-performance computers …

Deep neural networks (DNNs) have shown prominent performance in the field of object
detection. However, DNNs usually run on powerful devices with high computational ability …

Small object detection is one of the key challenges in the current computer vision field due to
the low amount of information carried and the information loss caused by feature extraction …

Object detection is one of the main tasks of computer vision. Object detection algorithms
usually rely on deep convolutional neural networks, which require the host device to have …