Computer Vision’s Future from Intel Tech

Concerning Starwit Technology Intel’s Vision for Computer Vision Applications Starwit Technologies was established to develop software solutions for city traffic modernization and optimization

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Obtaining greater mobility with the same number of vehicles will also be beneficial Since optical cameras are the most adaptable and widely used method of observing reality, they are the primary sensor used to gather data

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The vast majority of AI-powered Computer Vision object detection and tracking algorithms used today are designed to operate quickly on GPUs

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Their software products will have a significant competitive advantage if they can perform the required image processing on CPU-only Computer Vision systems quickly enough

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The business results were very positive, and Intel hardware and Intel AI Tools will power the first field deployments in Wolfsburg, Germany, and Carmel, Indiana, USA, the two pilot cities

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A benchmark run consists of identifying objects on 9000 individual images using YOLOv8, model size nano. The only difference between benchmark runs is the batch size

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The company worked with Intel to perform careful measurement runs on the Intel Developer Cloud using the company’s newest Xeon microprocessor and Intel software tools enabled by oneAPI

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The experience of Starwit Technologies highlights the revolutionary potential of Intel’s most recent Xeon CPUs For more details visit govindhtech.com

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