Machine Learning
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Tomato Sorting Machine using Edge Impulse TinyML on Raspberry Pi Manually sorting items is one of the most exhausting and time-consuming tasks. Manual sorting, whether of fruits or veggies or… |
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Introduction to TinyML: What is it and Why does it matter? TinyML introduces Machine Learning to the scene by incorporating Artificial Intelligence into small hardware components. You’ll… |
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How to use Edge Impulse Signal based Model Training to train a Fever Detection Model AI has been a buzzword this entire decade. People have been applying the concepts of AI in all possible fields – Agriculture,… |
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Push-Up Counter using Raspberry Pi and MediaPipe Human pose estimation technology is becoming increasingly popular due to the recent growth and popularity of Virtual and… |
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New Machine Learning Algorithms for Self-driving Cars to Learn to Drive by Watching Other Cars The researchers claims that one hour of driving data was utilised for machine learning purposes, 92% of the vehicles arrived… |
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Digital coach can teach Table Tennis using Machine Learning and Artificial Intelligence For improving his Table Tennis game, an engineer, Samuel Alexander develops an AI-powered bat. To… |
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Raspberry Pi Based Emotion Recognition using OpenCV, TensorFlow, and Keras In this tutorial, we are going to implement an Emotion Recognition System or a Facial Expression Recognition System on a… |
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Object Classification using Edge Impulse TinyML on Raspberry Pi Edge Impulse Studio is a machine learning platform that enables developers to generate Machine Learning trained models in the… |
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Digital Inclinometer with Programmable Machine Learning Core for Industrial Automation and Structural Health Monitoring STMicroelectronics has introduced a high accuracy low power 2 axis digital inclinometer for applications such as industrial… |
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STM32 Condition-Monitoring Software Function Pack for Simplified Machine Learning STMicroelectronics has released a free STM32 software function pack that lets users quickly build, train, and deploy … |
