An extraordinary challenge for real-world applications is traffic sign recognition, which plays
a crucial role in driver guidance. Traffic signals are very difficult to detect using an extremely …

During steel strip production, mechanical forces and environmental factors cause surface
defects of the steel strip. Therefore, detection of such defects is key to the production of high …

Traffic sign detection (TSD) is a key issue for smart vehicles. Traffic sign recognition (TSR)
contributes beneficial information, including directions and alerts for advanced driver …

The detection and classification of tea is the premise to realize the automation and
intelligence of the famous and high-quality tea picking. The tea buds and tender leaves, as …

Convolutional Neural Networks (CNN) achieves perfection in traffic sign identification with
enough annotated training data. The dataset determines the quality of the complete visual …

Tea is rich in polyphenols, vitamins, and protein, which is good for health and tastes great.
As a result, tea is very popular and has become the second most popular beverage in the …

Rapid and accurate detection of tender tea buds in the natural tea garden environment is the
basis for intelligent tea picking. However, complex models result in high hardware …

Traffic sign detection and recognition perform a vital function in real-world driver guidance
applications, including driver assistance systems. Research into vision-based traffic sign …

Blink detection is an important technique in a variety of settings, including facial movement
analysis and signal processing. However, automatic blink detection is very challenging …

Tea bud detection technology is highly significant in realizing the automation and
intelligence of tea bud picking. However, there are still some challenges with tea bud …