We often see various arrows on the road. These arrows are road traffic markers with a guiding function, indicating that the road ahead can only be driven according to the guiding arrows on the road surface. They mainly provide guiding information to traffic participants. The indicator type generally gives pedestrians…

What Is Object Detection？ Object detection is to find all the objects of interest in the image and determine their categories and positions. Normally, in an image, we can detect the object's position by returning a coordinate from the top left to the bottom right corner and the category tag. In short, object detection…

Computer vision is the branch of computer science that uses cameras or a set of cameras to process 2D visual data. This allows AI to identify cars, trucks, cyclists, pedestrians, roads, lane markers, traffic signals, buildings, and ground. All autonomous vehicles use an array of hardware sensors to recognize the…

We all know the principle of “stop at the red light, go at the green light” since we were little kids, how to make the driverless car follow the rules as well? The key lies in the autonomous driving algorithm to recognize such objects. We need to tell the vehicle…

Empowering the Farm Industry through Video Tracking Annotation: Insights into Animal Health, Behavior, and Welfare Video tracking annotation involves using computer vision technology to analyze and annotate video footage of farm animals and their behavior. By accurately tracking and identifying individual animals, farmers can gain insights into their health, behavior, and overall well-being. One of the main benefits of video tracking annotation in the farm…

Machine Learning Defect Detection Technology — Defect detection is an important part of product quality management systems in various industries, and it is also the last barrier before products are formally put into the market. Product defect detection methods can be divided into three types. The first is the manual detection method. This method is not…

With the rise of autonomous vehicles, the demand for accurate lane line recognition has increased significantly. Lane line recognition is a crucial component of autonomous driving, as it helps the car accurately identify the road and make informed decisions for safe navigation. Camera technology plays a vital role in the…

Autonomous vehicles rely on a clear understanding of the drivable areas in order to navigate safely and efficiently. This includes the identification of structured, semi-structured, and unstructured road surfaces. A drivable area data annotation case can help define the current drivable area, which includes various lane types, and the areas…

Intelligent Security in Smart Homes: Enhancing Safety and Convenience Home anti-theft: anti-theft devices include detection equipment for human activities and door switch, such as infrared intrusion detector magnetic, smart door locks, door, etc.. In the condition of system security, these devices can effectively detect situations like someone is breaking in or the windows are open. …