Kendamil Computer Vision

Our Development Time: 6 weeks
Equipment Used: FDM 3D Printer, Laser Cutter
Materials: PLA, LCD Screen, Raspberry Pi, 12.3 MP Camera, NeoPixel Lighting
Expertise Leveraged: Algorithm Development, Embedded Systems, Electronics Design, Enclosure Design

The Brief

Kendal Nutricare contacted us to explore a prototype to further bolster the quality assurance pipeline for new products.

Our Solution

We developed two bespoke algorithms to quantify the colour grading of samples, as well as an in-built edge detection algorithm for quality assurance. We used a 13.2 Megapixel camera, microcontroller and lighting rig alongside bespoke code. We displayed the results and configuration settings on an LCD screen, and wrapped a casing around it.

The Impact

We provided a functional lab device at TRL 4, enabling additional quantitative data alongside trained human expertise for sample checking.

Previous project

← Water Quality Device

Next project

Neuranics Casings →

Next step

Bring us a problem worth building.

We commit to a working function, not just a design or a render. Tell us what it needs to do.

Start a project →