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RiverPointWeb & App

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

Detection and tracking

Objects, people and hands, tracked in real time on ordinary hardware.

Process verification

Step sequence, placement and timing against a defined procedure.

Quality inspection

Defect detection on a production or packing line.

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.