Camera finished product vision test system
Definition detection scheme
Hardware structure diagram
1.Clarity test: test the center and surrounding of the picture clarity
2.Camera whiteboard test, white balance, brightness uniformity, color uniformity, bad spot test, bad cluster test, blemish
3.Indicator light detection
4.FOV field angle test, gray scale test
5.Optical axis test
6.Night vision detection
7.Other:Keystroke detection,audio function detection etc
|UPH capacity||180～300 per hour|
|Camera object distance||0.5m～10m|
|Power input||AC 220V±10% / 50HZ|
Clarity detection test solution
Simulated Photography Using Customized Range-Increasing Mirror ，can simulate different distance such 0.5m，1m，2m，3m etc， Simulated natural light with brightness uniformity of 98% is used as light source ， Color and Lumen are all meet the ISO 12233， The test card is compared with the ISO 12233 Tvline test line. And also can choose the SFR or MTF test card base on different demands.
Whiteboard detection test solution
1.Bad Point Detection
Detection of bad points based on template image brightness reconstruction.
2. Bad Cluster Detection
Bad Cluster Detection Based on Gradient Angle Reconstruction.
Weak bad cluster detection based on recognition of local features.
Weak curve detection
3. Color temperature , Color/Lumen uniformity Detection
Optical axis detection test solution
By taking pictures ,detect the optical axis verticality by measuring the distance between the center of the image and the center of the blue box ，The shorter the distance, the higher the perpendicularity of the optical axis.
FOV detection test solution
Calculate how many pixels is the edge length of each square in the test card，and Calculate the edge length of each square in the actual color card, get the actual length of each pixel, then calculate the diagonal length, the coverage of FOV angle can be obtained.