We are more in the mode of "deploy cerrion at your most critical production vantage points and we tell you when, why and where deviations happen". This mode doesn't require any consulting, because that every manufacturer knows their critical points and our tech doesn't need manual customization. We will focus on processes where this is always applicable and consulting is not needed to be able to achieve fast growth.
The analysis of quantifying potential jams points and surfacing targeted improvement areas is smth we are already working on given that this can be done automatically in the customers dashboard by running some correlation analysis on our detections
Instrumental focus on detecting defect in already assembled/finished products we focus on detecting anomalies in the production process itself i.e we are positioned earlier in the value chain and use video and not images like Instrumental to detect anomalies
Thank you very much. Current industrial vision solutions like Halcon or Cognex focus on quality control i.e they inspect products for defects while we focus on process control where we look for anomalies in the process itself i.e in the material flow, material handling etc.
Great point, so key here given the variability in manufacturing processes is to have a plug & play setup. That's why we are working on getting our setup time down to just a few hours, through focusing on unsupervised model adaptation.
Re other areas: Same concept can be applied to anywhere where fast reaction times to deviations are essential and deviations are visually distinct. Think loading docs, where you want to make sure that cargo is loaded in time or machine assembly where you want to avoid delays. I think the list of areas where such an approach would add value is quite long.
The analysis of quantifying potential jams points and surfacing targeted improvement areas is smth we are already working on given that this can be done automatically in the customers dashboard by running some correlation analysis on our detections