Developing Jetson solutions on your laptop

TL;DR – how to use cross-platform tech in Docker to build arm64 solutions on an x86 platform At Seechange, we want our partners and customers to be able to integrate easily with our platform. Models can be developed elsewhere and deployed by SeeWare to deliver inference data in our secure, scalable environment. One of the […]

Tackling Product Recognition at Checkouts Using Neural Networks: Part 1 of 3

By Eleftherios Fanioudakis and Nimesh Patel Introduction This is part 1 of a 3 part series which details the technical journey SeeLabs have been on, to solve the following challenge we were presented with. The parts are as follows: Part 1: Retail Loss at Checkouts: Introduction to the Problem and the Detector-Classifier System Part 2: […]

From Cloud to IoT: Securing the Continuum

The recent advancements in machine learning have enabled market innovators to build insights from IoT sensors in the wild. As a result, these insights can be used to solve complex real-world challenges. At SeeChange, we use the understanding of environments gleaned from insights to solve challenges within (but not limited to) the retail, occupancy, smart […]

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