Transforming retail with augmented reality & computer vision
Arpalus efficiently monitors shelf compliance using real-time computer vision recognition uniquely synergized with augmented reality
Innovative technology that gives
retailers and CPGs eyes in the store
retailers and CPGs eyes in the store
Data on the fly
Unmatched real-time capabilities and depth measurements
Actionable insights
Empowering employees with actionable insights
Zero friction
Near zero onboarding time. We create our own datasets with a bespoke framework
Boosting computer vision
Using edge-computing, we’ve created a cascade of hundreds of micro deep neural networks that work together to deliver results within sub-seconds. These results are displayed on top of the real-world imagery using augmented reality and spatial awareness to instantly give the employees what they need. Training time to become proficient and control the app takes as little as 15 minutes.
Real-Time computer vision on any mobile device
Autonomous learning of new/modified objects in just a few shots
Semi-autonomous image tagging, reducing the workload by more than x100
Future expansion to self-evolving AI systems, autonomously learning their environments
Seamless data collection using our app for scalability
Changing the rules of the game
Edge
computing
computing
Onboarding
Computer
vision
vision
Data
collection
collection
Time
reduction
reduction
Edge computing
Benefits of edge computing includes preserving bandwidth and increasing efficiency by processing information closer to the users and devices that require it, rather than sending that data for processing in central locations in the cloud. By embedding AI locally, we can reduce latency issues and accelerate the generation of insights while lowering usage and cost of cloud services. Stores located in remote areas with poor communication infrastructure are less subject to connectivity losses that can hinder mission-critical and time-sensitive decision making.
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