platoseed
Self-Checkout using Computer Vision.
Mashgin creates better retail experiences through visual automation. Weβve built a self-checkout kiosk that uses computer vision to scan multiple items without barcodes, reducing checkout time by 10x. Weβre completely recreating the checkout experience in an industry thatβs had little innovation in decades. Our clients see dramatic reductions in lines and revenue increases of as much as 400% as a result.
Mashgin provides an AI-powered self-checkout platform that enables fast, barcode-free item identification and checkout. It claims to significantly increase throughput and improve customer experience across various venues by automating the checkout process with multiple 3D cameras and learned item models.
Mashgin uses multiple 3D cameras to model items on a checkout tray and identify them with over 99.99% accuracy. The system learns new items quickly (added in about 30 seconds) and supports full checkout in about 5 seconds without barcodes. It already knows a large catalog of items (over 100k bar-coded items) and requires no setup for current items. The platform is deployed across locations via Mashgin devices to facilitate instant item identification and speedy payment at the point of sale.
Who itβs for: Retail and hospitality venues seeking fast, cashier-less style checkout to improve throughput and customer experience (e.g., stadiums, universities, airports, healthcare facilities, dining services).
Customers: University of Southern Maine | Maine Center, Angel Stadium, Lumen Field | Seahawks, Petco Park | Padres, Madison Square Garden, EagleBank Arena, AT&T Stadium, SAP Center | Sharks, Vail, Buena Vista University, University of Tennessee, University of Louisiana at Lafayette
Customer logos and case studies across large venues; mentions of widespread deployment and tangible throughput benefits indicate market traction and deployment scale.

Plug-and-play cashier-less retail powered by computer vision and AI
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