IVT Capture
In developmentCamera and video troubleshooting for industrial vision systems
Capture, record, replay, and troubleshoot industrial camera systems.
GitHub — coming soon
Project details
Machine vision software & engineering
Industrial Computer Vision for Manufacturing
Open-source machine vision tools and commercial computer vision solutions designed for real production environments.
Core technologies
- Python / OpenCV
- Deep learning inspection
- GigE & USB3 industrial cameras
- GPU inference
- Edge deployment
- PLC integration
Open Source
Practical tools for machine vision engineers
Industrial vision work often stalls on the basics: is the camera actually streaming, is the trigger firing, what did the image look like when the false reject happened? IVT builds small, focused tools that answer those questions on the plant floor.
Why open source
Troubleshooting tools are most useful when engineers can read the source, adapt them to their own hardware, and trust what they do with production images. IVT intends to release this tooling publicly and keep it usable without a commercial agreement.
Commercial Solutions
Computer vision engineering for production
Engineering services covering the full path from an inspection idea to a system running on the line.
01
AI Defect Detection
Use computer vision and deep learning to automate visual inspection and identify manufacturing defects.
- Deep learning and classical image processing
- Defect classification and segmentation
- Inline and offline inspection workflows
02
Vision Feasibility Studies
Evaluate whether a proposed inspection can be reliably automated before committing to a full production system.
- Imaging, lighting, and optics assessment
- Sample image collection and analysis
- Clear go / no-go technical recommendation
03
Custom Vision Engineering
Industrial camera integration, image processing, Python/OpenCV development, GPU inference, PLC integration, and production deployment.
- Python, OpenCV, and GPU inference
- Industrial camera and lighting integration
- Edge deployment and PLC connectivity
Why IVT
Industrial vision software should be built like industrial equipment
The approach behind both the open-source tools and the commercial work.
Practical before impressive
A vision system is only useful if it runs reliably on the line, shift after shift. Technology choices should follow from the inspection problem, not the other way around.
Understandable systems
Engineers and technicians should be able to see what the system is doing and why it made a decision. Opaque inspection is difficult to trust and harder to debug.
Maintainable long term
Plant personnel need to adjust, retrain, and service a system long after installation. Clear code, documented interfaces, and standard tooling matter more than novelty.
Built for the plant floor
Lighting drifts, parts move, fixtures change, and networks are shared. Real production constraints belong in the design from the start.
Have an inspection problem?
Tell us about the application and we'll discuss whether computer vision could be a good fit.