NXP’s eIQ Toolkit Supports Machine Learning in Face Recognition, Food Recognition & More

“…eIQ and its other processor solutions can be used to support a range of machine learning applications including facial recognition, wake word and voice control systems, and computer vision technologies including traffic sign recognition and even food recognition.”

NXP Semiconductors has launched a new machine learning toolkit. Called “eIQ”, it’s a software development platform that supports popular neural network frameworks including Caffe2 and TensorFlow Lite.

The platform is aimed particularly at the development of machine learning software for edge devices with limited energy consumption and other resource constraints, with NXP Semiconductors highlighting automotive, industrial, and Internet of Things applications.

In announcing the new platform, the company noted that eIQ and its other processor solutions can be used to support a range of machine learning applications including facial recognition, wake word and voice control systems, and computer vision technologies including traffic sign recognition and even food recognition.

NXP Semiconductors announced the eIQ platform at this week’s IoT World Congress in Barcelona, where the company is demoing examples of real-world applications of its machine learning technology. It also has representatives showcasing the technology alongside its Arm Cortex-M33 edge computing solutions at Arm TechCon 2018 in San Jose, which, like IoT World Congress, runs from October 16th to 18th.

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(Originally posted on Mobile ID World)

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“…eIQ and its other processor solutions can be used to support a range of machine learning applications including facial recognition, wake word and voice control systems, and computer vision technologies including traffic sign recognition and even food recognition.”

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