Camera Image Quality Analysis-ADAS Module

Product Details

RIQA-ADAS is a professional image quality analysis software designed for autonomous driving and in-vehicle camera systems. Based on international and industry standards, it provides systematic evaluation and analysis across Contrast Detection Probability (CDP), Flicker, Flare, Noise & Dynamic Range, and Motion Blur. The software supports both image and video input, multi-bit depth RAW data parsing, and covers the core quality metrics for ADAS camera modules—fully addressing the testing requirements of automotive imaging systems.


Key Features


  • Compliance with Industry Standards: Supports SAE P2020, ISO 18844, and ISO 9358.

  • High Dynamic Range (HDR) Data Analysis: Facilitates the processing and analysis of HDR data for detailed evaluations.

  • RAW Data Decoding: Includes decoding of RAW data, with built-in algorithms for demosaicing, white balance correction, and dark level decompression.

  • Camera Control and Data Format Flexibility: Compatible with multiple camera controls and data formats, providing significant flexibility for different testing environments.

  • Bilingual Interface: Offers both English and Chinese language options, enabling fast and efficient analysis with one-click report generation.


Supported Testing Parameters


  • CDP (Contrast Detection Probability): Assesses the camera module’s detection capabilities in different lighting and contrast conditions, evaluating its ability to reproduce images accurately.

  • Flicker Suppression: Measures key flicker parameters such as FMI, FDI, and MMP to evaluate the module’s flicker suppression performance.

  • Flare Analysis: Tests the impact of glare and provides output for F(%), average flare attenuation, and worst-case flare attenuation.

  • Noise and Dynamic Range Analysis: Assesses signal strength and interference, outputting results such as TCG, CNR, mean, temporal noise, fixed noise, total noise, and SNR.

  • Motion Blur: Evaluates the image sharpness under different speed and lighting conditions, providing metrics such as edge width and MTF variations.


Supported Test Charts & Equipment


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