
High-Speed Imaging with FPGA — Reusable Vision Engine
Ingest high-speed camera streams, process edges/keypoints/motion in hardware, and stream compact results via 10GbE/PCIe. Same platform, different pipelines for factory, robotics, and labs.
FPGAVisionHigh-Speed I/ODDR10GbE/PCIe
Purpose
Build a reusable, low-latency FPGA vision engine that ingests high-speed camera streams, buffers safely in DDR, runs modular blocks (edges, corners, motion) in hardware, and outputs reduced results over 10 GbE/PCIe. Different users load different pipelines.
What’s New / Why it Matters
- Deterministic latency: pixels-in → features-out in microseconds.
- Bandwidth reduction: stream ROIs/keys/flow, not raw frames.
- Reusable platform: same hardware, different pipelines.
- Industry fit: mirrors real work in robotics, vision, and test.
Components & Modules
Category | Part / Name | Notes | Status |
---|---|---|---|
FPGA board | Zynq-7000 (Zybo/Zed) or ZCU104 | DDR on-board; PCIe/10G on higher-end | to buy |
High-speed link | 10 GbE SFP+ FMC or PCIe | choose based on board | to buy |
Camera sensor | Sony Pregius IMX250 / onsemi PYTHON | global shutter; LVDS/MIPI | to buy |
Lens & lighting | C-mount lens + LED panel | consistent exposure | to buy |
Sync/trigger | PTP/trigger board | timestamp alignment | to buy |
Bench tools | 12V PSU, scope/LA, tripod/fixtures | — | to buy |
Update the table by editing the components
array at the top of this file.
Architecture
- Sensor ingest (MIPI/LVDS → AXI)
- DDR buffering (no drops; measured margins)
- Pluggable vision stage
- Reducer (ROIs / keypoints / flow / stats)
- 10 GbE/PCIe output; optional PTP timestamps
Vision Toolbox (hardware blocks)
Edges & Gradients
Sobel / Canny for clean outlines
Corners & Keypoints
FAST + ORB descriptors
Motion
Lucas–Kanade (sparse) / dense flow
Reducers
ROIs, keypoints+descriptors, flow vectors
Use-case templates
- Factory: Canny → blob/shape → stream defect ROIs
- Robotics: FAST/ORB → LK flow → stream tracks (box + velocity)
- Lab: threshold/edges → centroid/size → CSV time-series
Roadmap
- CSI-2/LVDS bring-up → RAW10/12 unpack → checksum
- DDR buffering with stress-gen + checker (no under/over-runs)
- Vision v1 (Sobel/FAST) → v2 (ORB/LK flow) with latency/throughput/power
- 10 GbE/PCIe streaming + timestamps; host viewer/API
- Benchmarks vs CPU/GPU (accuracy, latency, energy/FPS)