Estimating indoor CO2 levels using tinyML and computer vision

Reading Time: 2 minutes Arduino Team — May 6th, 2022 The ongoing COVID-19 pandemic has drawn attention to how clean our indoor environments are, and by measuring the CO2 levels within a room, infection risks can be approximated since more CO2 is correlated with poor ventilation. Software engineer Swapnil Verma had the idea to use computer vision to count the number…… Estimating indoor CO2 levels using tinyML and computer vision weiterlesen

Meet the Nicla Vision: Love at first sight!

Reading Time: 3 minutes Arduino Team — March 8th, 2022 We’re proud to announce a new addition to the Arduino ecosystem, the Nicla Vision. This is a brand new, ready-to-use, 2MP standalone camera that lets you analyze and process images on the edge for advanced machine vision and edge computing applications. Now you can add image detection, facial recognition,…… Meet the Nicla Vision: Love at first sight! weiterlesen

Optimizing a low-cost camera for machine vision

Reading Time: 15 minutes In this deep dive article, performance optimization specialist Larry Bank (a.k.a The Performance Whisperer) takes a look at the work he did for the Arduino team on the latest version of the Arduino_OV767x library. Arduino recently announced an update to the Arduino_OV767x camera library that makes it possible to run machine vision using TensorFlow Lite…… Optimizing a low-cost camera for machine vision weiterlesen

Machine vision with low-cost camera modules

Reading Time: 6 minutes If you’re interested in embedded machine learning (TinyML) on the Arduino Nano 33 BLE Sense, you’ll have found a ton of on-board sensors — digital microphone, accelerometer, gyro, magnetometer, light, proximity, temperature, humidity and color — but realized that for vision you need to attach an external camera. In this article, we will show you…… Machine vision with low-cost camera modules weiterlesen