Advancing Image Signal Processing: Simulation as an effective cost-cutting measure for Image Quality Tuning
By leveraging affordable virtual resources, simulation can evaluate both essential functionalities and edge cases, significantly cutting costs and timelines of traditional validation methods. These results offer valuable insights to refine designs and justify investments in physical hardware for real-world use. This whitepaper explores the tuning and simulation of Image Signal Processors (ISPs) and emphasizes the … Read more
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Comparison Study between the CSI-RX drivers implemented for FreeRTOS and Linux Operating Systems
In this white paper, we consider CSI-RX driver implementations on two different operating systems: FreeRTOS and Linux.
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Automotive In-Cabin Face Recognition and Anti-Spoofing AI using 3D Time of Flight Camera
MulticoreWare and Melexis have jointly worked on a new face understanding algorithm with modules such as face detection & recognition, drowsiness/distraction detection, and anti-spoofing detection.
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Part-1 Why should companies develop for the cloud?
We are delighted to release our 3 part series White Paper on Machine Learning & Cloud. Part 1 titled – Why should companies develop for the cloud? focuses upon the aspects of cloud computing, scalability, security practices, ML on the cloud, etc.
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Part-3 Why ML on the Cloud?
Here’s the 3rd and final Whitepaper of our 3 part White Papers series on Machine Learning & Cloud.
Part 3 titled – Why Machine Learning on the Cloud? focuses on the advantages of ML on cloud, dedicated accelerators, cost-benefits, ML pipeline on cloud, etc.
Part-2 Running ML Applications on the Cloud vs Edge
Here’s the 2nd Whitepaper of our 3 part White Papers series on Machine Learning & Cloud.
Part 2 titled – Running Machine Learning Applications on the Cloud vs Edge focuses upon the aspects of cloud computing, scalability, security practices, ML on the cloud, etc.