Artificial Intelligence
Computer Vision
Camera systems for inspection, tracking and verification — scoped honestly to what a camera can actually measure.
The short version
Vision projects fail on scope, not on models. Recognising which bin a hand reached into is straightforward. Measuring the bend radius of a cable is a different problem needing depth sensing and calibration, and conflating the two is how a six-week project becomes six months.
We separate recognition problems from measurement problems in the first conversation, and phase the work accordingly.
What is included
Scope, plainly.
- 01
Detection and tracking
Objects, people and hands, tracked in real time on ordinary hardware.
- 02
Process verification
Step sequence, placement and timing against a defined procedure.
- 03
Quality inspection
Defect detection on a production or packing line.
- 04
Edge deployment
Running on a device at the station rather than shipping video to the cloud.
Typically built with
- MediaPipe
- YOLO
- OpenCV
- Python
- Jetson
Let’s talk about yours.
Describe it in a paragraph. You will get a straight answer on scope, timeline and whether we are the right people for it.