PerCV.ai end-to-end Software & Services Platform to Deploy Computer Vision & AI at Scale
Integrating ML models for people, vehicles, or any type of object detection together with vision system design, data management and ready to use deployment tools for on-device intelligence, PerCV.ai enables building vision based AIoT sensors and solutions with optimum performance, low cost and reduced time to market.
Billions of embedded cameras are producing an enormous volume of visual data, fuelling the 51-billion-dollar industry of Computer Vision. The most valued companies are pioneering the Computer Vision AI adoption to address their real business challenges.
■ In Retail, the first autonomous, cashier-less stores are here unleashing a new series of applications.
■ In Mobility and Smart Cities, industry leaders are adopting Vision AI for vehicle, object, and people identification in real-life environments.
Human inspection is labour-intensive, error prone, and expensive - a great number of operations struggle to get 100% accuracy. On the contrary, Vision AI can do the heavy lifting of transforming visual data to metadata in a 24/7 basis!
However, mastering Computer Vision AI requires technological synergies across embedded hardware, system design, embedded software, and machine learning.
At Irida Labs (https://iridalabs.com/), we are democratizing Computer Vision with PerCV.ai, our Vision AI platform powering vision-based solutions for Industry 4.0, Smart Retail and Smart Cities & Spaces. PerCV.ai supports the end-to-end development of vision-based solutions, providing a complete stack of necessary tools and services ! It is easily adopted in different markets and versatile use cases; let’s dive deeper into some real-world implementations!
▶ Computer Vision-based Bag defect detection for industrial / manufacturing production lines is a game-changer in the quality assurance process, achieving fully automated 24/7 QA and zero-defects!
Pallet or parcel detection and position verification in a warehouse as well as stock monitoring are just some additional use cases.
Customer data are among the most valuable assets for a retail business.
▶ Customer behavior data and analytics, such as people count, soft demographics, or peak times in physical stores, are some measurable data that retailers need to know in order to take informed business decisions.
Self-checkout based on Computer Vision AI can drastically improve the customer experience, by reducing the waiting times in cashier queues.
Shelf interaction analytics provide
low inventory alerts while contributing to a
360 view in inventory and customer insights.
▶Smart Cities leverage AI technology to optimize and improve efficiency of citizen operations and services. Detection of vehicles enables real-time traffic management applications, as well as intelligent fleet management for public transportation and transportation logistics optimization.
At the same time, privacy-preserving people detection allows public area analytics - including pedestrian flows, occupancy rates for indoor & outdoor areas, public zone segmentation and Smart Buildings applications.
Trusted by world-class leaders and with a global footprint of customers, Irida Labs is here to democratize Vision AI by bringing visual perception to any device.
Contact us for more details or request a demo at https://iridalabs.com/
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Explore more about PerCV.ai at http://percv.ai/