Connect your source
Use an existing camera, RTSP stream, recorded video, or image folder.
Ready-to-use computer vision platform
Connect your cameras, choose the AI models and automation logic, and launch a working vision system visually—without coding or maintaining a custom software stack.
From video to action
You already have the use case. Pysource gives you a faster way to put it into operation without connecting multiple tools or writing the entire application from scratch.
Use an existing camera, RTSP stream, recorded video, or image folder.
Use a supported model or bring in one trained for your specific objects.
Count objects, save an event, display a result, send an alert, or pass data to another system.
Practical camera automation
Turn camera feeds into information and actions that support real operations.
Watch restricted zones, detect defined events, and notify the right person.
Count and classify vehicles, monitor directions, movement, and traffic events.
Track pallets, inventory movement, loading areas, vehicles, and operational events.
Measure occupancy, movement, queues, and activity without reviewing hours of video.
Flag missing parts, incorrect products, surface defects, and packaging problems.
Turn a detection into an alert, saved event, API request, database record, or live display.
Use only what your project needs
Start with VisoNode to put computer vision to work. Add VisoLabel only when an existing model cannot recognize your specific products, defects, or objects.

Prepare a custom model when you need one. Annotate data, reduce repetitive labeling, train, and export.
Best for: projects requiring a custom dataset or model
Put computer vision to work by connecting cameras, models, tracking, rules, and outputs.
Best for: running camera-based automation
Less setup. More useful testing.
Pysource brings annotation, training, video processing, tracking, business logic, integration, and monitoring together so you can test an idea and move toward a working implementation with fewer moving parts.
Use an existing video, camera, stream, dataset, or trained model.
Preview detections, rules, and outputs while preparing the workflow.
Use local and on-premises options when privacy or infrastructure control matters.
Adjust inputs, models, rules, and outputs without rewriting the application.
Built from real computer vision work
Pysource has worked in computer vision since 2017 across manufacturing, traffic analysis, research, interactive systems, and other camera-based applications.
Vision systems delivered across manufacturing, traffic, research, and interactive systems
Practical computer vision education for developers and teams
Built from years of delivering real camera-based projects
On-premises and edge deployment keep your footage inside your building
Designed around the work that appears after a model runs: connecting live sources, applying logic, generating useful outputs, and operating the system reliably.
Pricing
For developers who need annotation and model training.
For engineers building real-world vision applications. Includes VisoLabel.
Software + training + technical community.
For manufacturers, system integrators and machine builders.