CMOS image sensor test solution
The solution puts one APU image-processing board at each site, and images are processed locally at the site.
Model rendering, not an actual EVA100
Key figures
- Memory · per site
- 4GB DDRBandwidth 25.6 G/s (as documented)
- Image interface
- 1.5GbpsPer lane · MIPI CSI-2 D-PHY
- Compute · per site
- 400GFLOPSQuad Arm cores + 128 GPU cores
- Demo processing time
- About 100ms3264 × 2464 · 8 frames
Compute placed at the site
The bottleneck in image sensor test is the image data: once frames get large and sites multiply, shipping every frame back to a workstation eats the takt. This solution puts an image board at each site on the EVA100 platform and runs the algorithm locally, so sites do not wait on one another.
Applications
Multi-site parallel CIS testing
Each site processes its own image data, avoiding the communication cost of centralized upload, especially suited to trim-style operations.
Image-interface capture
Capture over MIPI CSI-2 D-PHY with 1/2/4 data lanes; DVP 10/12-bit and LVDS are possible extensions, covering the RGB, YUV and RAW format families.
Local algorithm execution
Under demo conditions, algorithms on 3264 × 2464 images across 8 frames run in about 100 ms.
Defined per project
The test-item list, judgment methods and delivery form are established per engineering project.
How a project proceeds (illustrative)
- Device and interface confirmationConfirm the sensor output interface, image format, site count and target takt.
- APU and light-source configurationConfigure image boards, the controlled light source and EVA100 resources per site count.
- Algorithm and sequence developmentImage-processing algorithms deploy on the APU; test sequences run on the EVA100.
- Solution validationValidate takt and data path with demos and samples, then define the delivery form.
Specifications
The final configuration follows the device interface, image format, site count and engineering conditions.
Full specification table (9 items)
| Item | Specification / configuration | Notes |
|---|---|---|
| System architecture | EVA100 tester + per-site Image Board (APU) + controlled light source | Ethernet links the tester and the image boards |
| APU composition | AI multi-core processor + flexible FPGA logic | Per site: quad Arm 64-bit cores + 128 GPU cores, upgradable to 256/512 |
| Compute | 400 GFLOPS, upgradable to 20 TFLOPS | Core is a mature AI SoC from a large fabless company |
| Memory | 4 GB DDR per site, 25.6 G/s bandwidth (as documented) | Upgradable to 8 GB at 51.2 G/s |
| Image interface | MIPI CSI-2 D-PHY: 1/2/4 data lanes + 1 clock lane, up to 1.5 Gbps/lane | Upgradable to 2.5 Gbps/lane; DVP 10/12-bit and LVDS are listed as possible in the source |
| Image formats | RGB888/666/565; YUV422-8b/444-8b; RAW6/7/8/10/12/14 | Configured to the device output format |
| Software stack | EVA test sequences / image-processing API / light-source API / APU driver | Runs on the EVA100 system software |
| Demo result | 3264 × 2464, 8 frames, algorithm time approx. 100 ms | Demo conditions as stated in the training document |
| Route direction | D-PHY toward 2.5 Gbps/lane; C-PHY toward 2.5 Gsym/s per trio | The documented roadmap dates are from 2021; current status requires engineering confirmation |
Content comes from the CMOS image sensor solution chapter of a 2022 EVA100 training document (system architecture, APU specification and demo data); the delivery form is defined per project. Items not listed follow the technical agreement.
The solution is built on the Advantest EVA100 platform. EVA100 is Advantest's product; Probing is its representative and distributor. The name is used only to identify the platform the solution applies to and does not indicate authorisation, certification or endorsement by the maker. The engineering owner of the image board (APU) is not stated in the source, so this page makes no in-house-development claim.
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