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/firmware different camera/sensor interfaces (USB, PCIe, CSI, MIPI..etc). LanguagesENGLISHLevelExcellent Additional Information Benefits What we do for you We offer you the opportunity to join one
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that develops advanced AI compute solutions involving AI models, algorithms, implementations, sensors and hardware for small scale edge up to large scale distributed and hybrid hardware architectures
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interconnected computing nodes, actuators and sensors, communicating over networks, to achieve complex functionalities, at both slow and fast timeframes, and at different safety criticalities. Future connectivity
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the School of Physical Sciences at the Open University. The CEI is a collaboration between the Open University and Teledyne e2v, a world-leading manufacturer of scientific and industrial image sensors. The CEI
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, characterisation and/or calibration of image sensors. Good understanding of, and demonstrable experience in, writing bespoke data acquisition and data analysis code and/or software algorithms with a focus on
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position / internship in the field of dependable person detection. Your task is to investigate, how reliably different object detection algorithms can recognize and locate persons. This will include 3D
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individually, make a real difference. The role To research and develop software modules, tools and API for a project that aims to create a secure decentralised data marketplace based on distributed ledger
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collaboration between the OU and Teledyne e2v (T-e2v), a world-leading manufacturer of scientific and industrial image sensors. The CEI is dedicated to conducting research into advanced imaging technologies
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-identified scans, records and sensor feeds to answer questions such as: Can we predict a patient’s response to treatment without ever seeing their raw file? Can an algorithm learn the warning signs of trouble
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integrating IoT sensor data, ML algorithms, and energy system modelling / simulation. Develop engineering-based simulations to understand operational impacts on energy output and maintenance needs. Prepare