Global exposure camera modules are widely used in many fields, mainly including the following aspects: Industrial inspection: In industrial production, global exposure camera modules are often used in high-precision inspection scenarios, such as dimensional measurement, 3D measurement, and surface defect detection. For example, when measuring the pin spacing of electronic chips, global exposure cameras can ensure that all pins are photographed at the same time, thereby reducing the measurement error caused by asynchronous exposure and improving the accuracy of dimensional measurement. In addition, in 3D object scanning, global exposure cameras can prevent measurement errors caused by line-by-line exposure and ensure the accuracy of each scanning result. In surface defect detection, global exposure cameras can capture the entire surface at one time, ensuring the integrity and authenticity of the image, which helps to accurately identify and classify various surface defects.
UAV reconnaissance: As one of the important payloads of drones, global exposure visible light cameras are widely used in military reconnaissance, environmental monitoring, and disaster assessment due to their advantages of high definition, high sensitivity, and wide dynamic range. For example, in military reconnaissance, global exposure cameras can capture detailed information on enemy personnel, equipment, and positions in real time, providing accurate battlefield situation awareness. In environmental monitoring and disaster assessment, the camera can quickly obtain image information at the disaster site and provide strong support for rescue work.
News reporting and sports photography: The global exposure camera can avoid image offset when shooting high-speed moving objects and achieve a distortion-free effect. This is very suitable for scenes such as news reporting and sports photography that need to be exposed in a short time.
Intelligent video surveillance: The global exposure camera can be used as an integrated linkage device to detect and capture human bodies, faces, motor vehicles, and non-motor vehicles with a wide field of view and long distances. This is very useful as a front-end big data acquisition device for open scenes such as pedestrian streets and squares, and can provide support for structured big data applications for intelligent video surveillance solutions.
