Measuring fish on the production line
A camera-based pipeline for detecting, segmenting and measuring fish on a moving conveyor.
See the work differently.
Computer vision.
Turn images and video into practical measurements, counts and records.
Built around
your actual inputs.
A useful vision system starts with the camera view and the decision it needs to support. We work with sample footage, operating conditions and reference measurements to build a solution for the task—from detecting fish on a conveyor to reading equipment displays or counting products on shelves.
Discuss this solution
The workflow
From input to the next step.
- 01
Understand the scene
Review camera positioning, lighting, target objects and operating constraints.
- 02
Detect and interpret
Build the detection, segmentation, classification or OCR pipeline for the task.
- 03
Connect the result
Present measurements and events in a dashboard, record or API response.
Possible building blocks
What we can
build together.
We agree the scope, evaluation criteria and deployment needs before implementation.
- Object detection and segmentation
- Measurement and counting
- Video event records
- Dashboards and API outputs
Relevant work
See the approach in context.
A shelf view that becomes a count
A mobile-accessible product detection and classification workflow deployed on Google Cloud.
A visual record of driving evaluations
A vision pipeline for vehicle detection, spatial measurements and configurable driving-test evaluation.
A practical place to start
What could your
next workflow look like?
Bring us the process. We’ll help you explore the possibilities.
Discuss your project