Schlagwort: Machine Vision
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Want to keep accurate inventory? Count containers with the Nicla Vision
Reading Time: 2 minutesMaintaining accurate records for both the quantities and locations of inventory is vital when running any business operations efficiently and at scale. By leveraging new technologies such as AI and computer vision, items in warehouses, store shelves, and even a customer’s hand can be better managed and used to forecast changes demand.…
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Count elevator passengers with the Nicla Vision and Edge Impulse
Reading Time: 3 minutesModern elevators are powerful, but they still have a payload limit. Most will contain a plaque with the maximum number of passengers (a number based on their average weight with lots of room for error). But nobody has ever read the capacity limit when stepping into an elevator or worried about exceeding…
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Estimating indoor CO2 levels using tinyML and computer vision
Reading Time: 2 minutesArduino 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…
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Meet the Nicla Vision: Love at first sight!
Reading Time: 3 minutesArduino 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…
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Optimizing a low-cost camera for machine vision
Reading Time: 15 minutesIn 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…
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Machine vision with low-cost camera modules
Reading Time: 6 minutesIf 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…
