Machine Learning
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TheAssitBot : Wearable AI Assistant for the Deaf and Mute The Wearable Communication Assistant is designed as a portable, AI-driven solution that leverages machine learning models for real-time sign language recognition and speech-to-text translation. Our goal is to enable this functionality on a lightweight embedded device, ensuring accessibility and ease of use. The project uses a development board with a camera for… |
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Air Pollution Measured with Camera and ML in Particulate Matter Sensor According to WHO ( World Health Organization ) combined effects of ambient air pollution and household air pollution is associated with 7 million premature deaths annually. Air pollution is a pressing global issue that poses a significant threat to human health and the environment. Many scientific studies have linked particle… |
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Infineon Releases PSoC™ 6 AI Evaluation Kit for Embedded AI and ML System Development Infineon Technologies AG has unveiled the PSoC™ 6 AI Evaluation Kit, aimed at supporting the development of embedded, Edge AI, and Machine Learning (ML) systems. This evaluation kit is designed to facilitate the creation of intelligent applications across consumer electronics, smart home environments, and Internet of Things (IoT) devices. The PSoC 6 AI Evaluation Kit… |
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How to build AI and Machine Learning Projects Using Maxduino In a previous article, we looked into the Maixduino Development kit and learned how to use it with the Arduino IDE. In this article, we will learn how to use Micropython in the Maixduino development kit. First, we will learn how to flash the Micropython firmware to the Maixduino and then how to set up Sipeed’s Maixpy IDE and use AI and Machine Learning… |
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ESP32-CAM Face Recognition using Edge Impulse Face recognition is becoming increasingly popular these days. There are numerous project ideas available that we can implement using the face recognition concept, and we at CircuitDigest have already built many ESP32-CAM projects, including an attendance system and a door lock security system using ESP32-CAM. However, face recognition… |
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Object Detection using ESP32-CAM and Edge Impulse In this project, we have used the popular ESP32-CAM module to build an Image recognition system that can identify various vegetables. We have used the Edge Impulse platform to train our model and deployed it on the ESP32cam module, the results of the model are displayed on the OLED screen as output. In this tutorial we will understand the basics of edge computing and… |
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STMicroelectronics’ New IMU Module Enhancing Automotive Safety and Functionality STMicroelectronics has launched a new module called the ASM330LHBG1, which has two main components: a 3-axis accelerometer and a 3-axis gyroscope. This module is designed specifically for use in cars and comes with software that helps ensure safety in different car functions. The module is built to work in tough conditions, like really hot or cold temperatures,… |
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Infineon's XENSIV™ Sensor Shield for Arduino and Smart Home Applications Infineon Technologies AG has introduced the XENSIV™ Sensor Shield for Arduino, designed to evaluate smart sensor systems in smart home and consumer applications. This shield incorporates various sensors from Infineon’s portfolio, including Sensirion’s SHT35 humidity and temperature sensor, enhancing design possibilities for Infineon’s customers. It enables engineers… |
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Quilter: An AI-Driven PCB Design Solution Quilter, an AI startup, recently garnered $10 million in Series-A funding to revolutionize the process of designing printed circuit boards (PCBs). Their approach combines machine learning with high-performance computing to streamline what has traditionally been a labour-intensive and manual task. Despite the availability of automation tools like auto routers, Quilter… |
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Infineon’s New PSoCEdge Family of Products Brings High-Performance Power-Efficient Machine Learning to the Edge Infineon Technologies has announced an expansion to their lineup of microcontrollers with the new PSoC Edge series., designed to empower edge devices with advanced machine learning capabilities. This latest suite of products from Infineon leverages high-performance, low-power Arm Cortex technology to enable responsive compute and control applications. With hardware-… |
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Creating an Arduino based Machine Learning Robot In a remarkable fusion of robotics and machine learning, a small robot equipped with an Arduino Uno took center stage as it autonomously navigated a racetrack. The project, undertaken by an innovative creator, involved manually training the robot on simpler tracks before challenging it on a larger, more complex one. The entire journey from… |
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Revolutionary Robotic Hand Grasps Objects with Wrist Movement and Skin Sensation Researchers from the University of Cambridge have designed a cutting-edge robotic arm that can grasp objects and prevent them from dropped using the wrist movement and “skin-like” sensors. Unlike the traditional robotic arms, this particular design relies on passive wrist movement instead of individual finger movement, making it cost… |
