Inspect
Decide whether what the camera sees is right or wrong.
- Jams and pile-ups on a sorter or conveyor
- Damaged or open parcels
- Full or blocked chutes
Services
The solution is usually a combination.
Most hard industrial problems don't belong to one discipline. Our team covers AI, machine learning, data science and controls engineering, so we can choose the technology the problem needs.
01 Machine vision
Industrial machine vision
Machine vision lets a line see. A camera captures each item, software works out what it is looking at, and the result goes to the control system in time to act on it.
A vision system is more than a camera. Lighting, lens, image sensor, processing and the link to your PLC each decide whether it works on a real line, so we design them together.
What it is used for
Identify
Read and recognize what an item is.
- Barcodes and printed text on labels
- Labels that are missing, hidden or unreadable
Measure
Work out size, shape and spacing.
- Oversize and non-conveyable items
- Doubles and side-by-sides
- Gaps between items before the sorter
Locate
Find where an item is and which way it is facing.
- Position and orientation on the belt
- Following an item through the camera's view
02 Controls, monitoring and AI
From the sensor on the machine to the AI model that decides.
Automation and controls
Automation built around the line you already run, from the first sensor to the control panel.
- Sensor selection and placement, matched to what needs to be measured on your line
- PLC and relay logic that ties new equipment into your existing control system
- Control panels designed and built around the site they are installed in
Condition monitoring and reliability
Uptime depends on knowing how equipment is running before it stops.
- Customized condition monitoring, built around your equipment and your site
- Conveyor belt tracking with sensors and a dedicated control panel
- Maintenance and reliability engineering: finding recurring faults and their causes
Customized AI solutions
Where fixed rules stop working, an AI or machine learning model can weigh several inputs at once.
- Models that make decisions from combined sensor, control and camera inputs
- Data science for productivity improvement: finding where a process is losing time
- AI solutions engineering, from a first test through to a working system
Have a problem that hasn't gone away?
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