Mobile phone buttons play a vital role in mobile phone devices. Mobile phone buttons are used to perform various operations, such as answering the phone, hanging up the phone, adjusting the volume, switching the machine, etc., which is convenient for users to carry out basic operations. In the production process, visual inspection needs to ensure that the size, shape and surface smoothness of the keys meet the design requirements to ensure the normal use and appearance of the keys.
The test items are glue deficiency, nozzle hanging hair, carving injury, surface scratches, surface particles, C-angle particles, chromatic aberration and other defects. The leakage detection rate is 0.5% (zero leak detection of obvious defects); the detection speed is not less than 140 pieces per minute (depending on the feeding speed).
Product features
The cloud disk vision detector can quickly and accurately detect and identify images, videos, documents and other contents in the cloud disk to improve work efficiency.
Adopt advanced artificial intelligence technology to achieve automated processing and recognition, reduce manual intervention, and improve processing efficiency and accuracy.
The cloud disk vision detector can not only carry out image recognition, but also carry out text recognition, video content analysis and other functions to meet diversified needs.
Ensure the privacy and security of user data, ensure that user sensitive information is not disclosed during the visual detection process, and improve data security.
Different detection algorithms and rules can be customized according to user needs to meet the needs of different industries and application scenarios.
Cloud disk visual detector can monitor cloud disk content in real time, find and deal with abnormal content or illegal information in time, and maintain the health and safety of platform content.
It has good scalability, can adapt to the increasing amount of data and demand, and maintain the stability and efficiency of the system.
Detection method
Using computer vision technology, images in the cloud disk are identified and analyzed to detect whether the contents comply with regulations or contain illegal information.
Through natural language processing technology, documents and text content in the cloud disk are identified and analyzed to detect whether there is sensitive information or illegal content in the text.
Analyze and analyze video files in the cloud disk to detect whether the video content contains inappropriate content, illegal information or infringing content.
Artificial intelligence algorithms such as deep learning and machine learning are used to intelligently detect various types of files in the cloud disk to improve detection accuracy and efficiency.
Set a series of rules and models to match and compare the content in the cloud disk and identify content that meets the rules or violates the rules.
Monitor changes in cloud disk content in real time, detect new files or content updates in a timely manner, and maintain continuous detection and monitoring.
Detect images
Surface particles
Oil nest
Carved wound
Hair hanging at the mouth of the water
Side scratches
Service hotline