3D Depth of Field Test Chart
3D Depth of Field Test Chart
3D Depth of Field Test Chart - Image 1
3D Depth of Field Test Chart - Image 2
3D Depth of Field Test Chart - Image 3

CP318-R15

3D Depth of Field Test Chart

The CP318 3D Depth of Field Test Chart is designed to evaluate the depth of field performance of imaging systems, measuring the range where cameras remain in sharp focus before and after the focal point. The chart consists of a graduated base plate and wedge line modules, enabling comprehensive depth of field and resolution testing in laboratory and engineering applications.

Product Details

The CP318 3D Test Chart is specifically designed for testing the depth of field in imaging systems, indicating the range within which the camera can maintain clarity both in front of and behind the focal point. The test chart consists of two main components: the Scale Base and the Wedge Line Module.


▋ Chart Patterns


▲ Scale Base


◆ Scale interval: 

For diagonal lengths up to 30cm: 1mm intervals.

For diagonal lengths between 30cm and 100cm: 1cm intervals.

For diagonal lengths exceeding 1m: 5cm intervals.


◆ Size: 150cm x 150cm  with hard board mounted.


▲ Wedge Line Module


◆ Ten wedge line modules for testing resolution.

◆ Height: 12cm

◆ Resolution range: 600-2000 lines

◆ Modules can be repositioned to accommodate different testing requirements.


▋ Chart Display


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Control Software

Implement interface control and API code control

RIQA-Camera

RIQA-Camera

RIQA-Camera is a professional image quality analysis software designed for smartphone consumer electronics, security, medical, and automotive camera applications. Based on international standard test methodologies, the software provides systematic evaluation and analysis across multiple dimensions, including resolution, noise, dynamic range, distortion, color, uniformity, and flare. Featuring a bilingual (Chinese/English) interface, support for multiple test charts, and a high degree of automation, RIQA-Camera delivers fast and accurate results, significantly improving the efficiency of image quality testing.

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