Picked from hundreds of startups to pitch to Saab and Toyota
Stock-taking in a warehouse usually means people walking the aisles with clipboards. LabelDetector does it with cameras: smart pan-tilt-zoom cameras read the labels that are already on the pallets, from a distance, and keep a live inventory. There is nothing to rebuild, no new labels and no hardware on each pallet.
Featured in Jönköpings-Posten
1 of 4startups picked from hundreds, which led to pilots with Toyota
What I built
I developed the core machine learning models: the AI vision that finds every label and reads the article numbers, order numbers, locations and quantities, even in bad light, on damaged labels and at strange angles. The inventory syncs with the business system and flags anything that doesn't match.
The pilot at Eboss
We proved it at Eboss, in a real production facility, with a live link to their Monitor G5 business system. Almi's Inkomst 4.0 programme helped fund the pilot.
Toyota and the forklifts
Out of hundreds of European tech startups, LabelDetector was one of four picked to pitch to Saab, Siemens Energy, Väderstad and Toyota Material Handling Europe, through Indx at Science Park in Linköping. The pitch turned into pilots with Toyota Material Handling, where we put the cameras on forklifts so every trip through the warehouse counts the stock. It automated a lot of manual work for them.
