Meet us at VISION Stuttgart 2022
Irida Labs will be exhibiting at the VISION Stuttgart 2022 a live demo deployment of the PerCV.ai-powered solution for next-gen Quality Control Automation based on AI & Computer Vision. Meet us! … Read More
74% of Vision AI PoCs do not scale*
Camera systems can be more than just “eyes”. Storing huge numbers of images
or video is no longer a necessity – all that makes sense is the AI-extracted
information. AI cannot solve everything.
Start-ups do good data ML but are not strong in computer vision, while embedded edge HW expertise is scarce. Most importantly, writing SW is far
away from successful Product Development.
A lot of open-source resoures are publicly available. On the other hand,
tech components development seem easier in-house (e.g. ML SW). However, cross-domain coordination is the key to success – and this is commonly discovered too late.
Each buniness case is special in various ways, from cost limitations, and accuracy requirements, to unique visual, product & environmental conditions, or integration with existing tech stack & processes.
A recent research from McKinsey & Company revealed that 74% of respondents failed to scale Vision AI / we stuck to pilot. A full SW & orchestration infrastructure is necessary to deploy either 2 or 2000 devices!
Irida Labs introduces PerCV.ai, a complete software and services platform that helps overcome the cross-industry problem & opportunity of scaling Vision AI. Providing an end-to-end Vision AI Infrastructure that involves: Optics and Hardware, Edge Software, Data Management, Edge Device.
Learn more
Stock Management
Product Identification
Packaging Integrity & QA
Shelf Monitoring
Customer Analytics
Store Heatmapping
Traffic Flow Monitoring
Parking Lot Management
ANPR
Trusted by Fortune-500 companies & world-class industry leaders
Irida Labs will be exhibiting at the VISION Stuttgart 2022 a live demo deployment of the PerCV.ai-powered solution for next-gen Quality Control Automation based on AI & Computer Vision. Meet us! … Read More
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