Camera Image Quality Analysis-All Modules

Product Details

The RIQA Image Quality Analysis Software is a professional tool specifically developed for camera image quality testing. It is widely used in the automotive, security, and medical industries, fully meeting both international and domestic standards. The software integrates a complete set of analysis methods with advanced digital processing capabilities, delivering accurate and comprehensive results with simplified operation—significantly improving testing efficiency across industries.

RIQA strictly follows international standards such as ISO, IEEE, and IEC, while being the first to support Chinese standards such as GB and QC/T. It covers applications including CMS (Camera Monitor Systems), in-vehicle cameras, HUD, and LiDAR testing. Through continuous iteration, RIQA adapts quickly to the latest global and domestic standard developments.

Now upgraded to Version 2 (V2), RIQA features a cleaner module design and a modern, streamlined interface. The new version includes seven functional modules—RIQA-Camera, RIQA-CMS, RIQA-ADAS, RIQA-Geometry, RIQA-AVM, RIQA-HUD, and RIQA-3D. Each module can be purchased independently, offering users flexibility and scalability to meet diverse application needs.

Key Features

1. Modular Design

  • Seven functional modules available (Camera, ADAS, Geometry, CMS, AVM, HUD, 3D), which can be purchased separately or combined as needed.

2. Support for Multiple Test Charts

  • Compatible with 40+ professional test charts, covering resolution, noise, distortion, color reproduction, uniformity, glare, and more.

3. Compliance with International & Domestic Standards

  • Covers CMS, in-vehicle camera, HUD, and LiDAR testing standards.

  • Major standards include:ISO 12233 / ISO 14524 / ISO 15739 / ISO 16505 / ISO 17850 / ISO 17957 / ISO 18844 / ISO 19567 / UN ECE R46 / SAE P2020 / GB 15084 / QC/T 1128 / GB 38892, etc.

4. Software Advantages

  • Bilingual (Chinese/English) interface, easy to operate, one-click report generation

  • Developed in C++, highly efficient, no need for third-party software (e.g., MATLAB)

5. Practical Test Tools

  • Built-in tools for FOV calculation, color space conversion, image comparison, and RAW data reading, further improving workflow efficiency.

6. Integrated Testing Workflow

  • Supports module powering, image capture, and full-process analysis, enabling high-efficiency one-stop testing.

Module Functions

RIQA-Camera

  • Resolution analysis using slanted edge, line pairs, Siemens star, dead leaves (ISO 12233 / ISO 19567)

  • Noise & dynamic range calculation (ISO 14524 / ISO 15739)

  • Automated distortion analysis (ISO 17850)

  • Color reproduction with multiple charts (ISO 17321)

  • Luminance and chromatic uniformity analysis (ISO 17957)

  • Glare testing with point source and ISO 18844 chart

  • Multi-metric chart analysis and video sequence analysis

RIQA-CMS

  • International CMS testing (UN ECE R46 / ISO 16505)

  • Chinese CMS standard testing (GB 15084)

  • Drive recorder system testing (GB/T 38892 / QC/T 1128)

RIQA-ADAS

  • Flicker analysis (FMI, FDI, MMP metrics)

  • Contrast Detection Probability (CDP) analysis

  • Motion blur analysis for video capture

  • ADAS module glare testing

  • Intrinsic calibration (pinhole, fisheye, MEI models)

RIQA-Geometry

  • Intrinsic calibration (pinhole, fisheye, MEI models)

  • Validation through triangulation for accuracy verification

RIQA-AVM

  • SFR, SNR testing

  • Minimum illumination, white balance testing

  • Color reproduction and glare testing

  • Panorama imaging system performance evaluation

RIQA-HUD

  • SAE, Chinese national and enterprise standard compliance

  • Multi-format luminance file analysis

  • Projection image testing

RIQA-3D

  • Latest LiDAR national standard testing

  • Point cloud data parsing and visualization

  • Extended support for multiple test charts


Documentation Downloads

Access technical documents and resources

Technical Specification

Datasheet_RIQA Image Quality Analyzer Brochure_20240910

PDF | 43.7 MB