Optimize object detection model with data provided by DocketRun Technologies
DocketRun Technologies was using AI for one of the retail use case. They wanted to increase the number of cameras supported by edge hardware for analytics. DocketRun Technologies used ENAP platform to optimize the object detection models for edge devices. An end-to-end workflow solution was performed consisting of training, optimising and deploying model. Read this Case Study to learn how EDGENeural.ai increased the number of cameras supported by edge hardware while keeping the cost same.
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EDGENeural.ai aims to bridge the challenges being faced while deploying AI over the edge. We are focused on building solutions to improve the efficacy of AI algorithms and models for edge devices.
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