Meet Nikola, a camera-enabled smart companion robot

Reading Time: 2 minutes Arduino Team — June 6th, 2022 For this year’s Embedded Vision Summit, Hackster.io’s Alex Glow created a companion robot successor to her previous Archimedes bot called Nikola. This time, the goal was to embed a privacy-focused camera and microphone system as well as several other components that would increase its adorability. The vision system uses a Nicla Vision…… Continue reading Meet Nikola, a camera-enabled smart companion robot

These intelligent slippers sense regular activities and falls using machine learning

Reading Time: 2 minutes Arduino Team — June 1st, 2022 When it comes to activity monitors such as smartwatches, rings, and pendants, they are often considered cumbersome or too difficult to keep track of, especially for the elderly with memory or dexterity problems. This is why the team of Jure Špeh, Jan Adamic, Luka Mali, and Blaz Ardaljon Mataln…… Continue reading These intelligent slippers sense regular activities and falls using machine learning

SafeDrill uses tinyML to encourage proper drilling technique

Reading Time: 2 minutes Arduino Team — May 31st, 2022 For those new to DIY projects that involve the use of power tools, knowing when a tool is being used in an unsafe manner is of utmost importance. For many, this can include employing the wrong drill bit for a given material, such as a concrete bit in a…… Continue reading SafeDrill uses tinyML to encourage proper drilling technique

This Arduino device can anticipate power outages with tinyML

Reading Time: 2 minutes Arduino Team — May 24th, 2022 Our reliance on electronic devices and appliances has never been higher, so when the power goes out, it can quickly become an unpleasant and inconvenient situation, especially for those who are unable to prepare in time. To help combat this problem, Roni Bandini has devised a device he calls “EdenOff,” which…… Continue reading This Arduino device can anticipate power outages with tinyML

Introvention is a wearable device that can help diagnose movement disorders early

Reading Time: 2 minutes Arduino Team — May 17th, 2022 Conditions such as Parkinson’s disease and essential tremors often present themselves as uncontrollable movements or spasms, especially near the hands. By recognizing when these troubling symptoms appear, earlier treatments can be provided and improve the prognosis for the patient compared to later detection. Nick Bild had the idea to create…… Continue reading Introvention is a wearable device that can help diagnose movement disorders early

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…… Continue reading Estimating indoor CO2 levels using tinyML and computer vision

Train yourself to avoid using filler words with the tinyML-powered Mind the Uuh device

Reading Time: 2 minutes Arduino Team — April 21st, 2022 Listening to a speaker who interjects words such as “um,” “uuh,” and “so” can be extremely distracting and take away from the message being conveyed, which is why Benedikt Groß, Maik Groß, Thibault Durand set out to build a small device that can help encourage speakers to make their…… Continue reading Train yourself to avoid using filler words with the tinyML-powered Mind the Uuh device

Arduino device uses tinyML to help wearers recover from shoulder injury

Reading Time: 2 minutes Arduino Team — March 15th, 2022 Shoulder injuries can be quite complex and require months of careful physical therapy to overcome, which is what led to Roni Bandini to build a tinyML-powered wearable that monitors a patient’s rotator cuff movements to aid in the recovery process. His system is designed around a Nano 33 BLE Sense and its…… Continue reading Arduino device uses tinyML to help wearers recover from shoulder injury

Arduino device uses tinyML to help wearers recover from shoulder injury

Reading Time: 2 minutes Arduino Team — March 15th, 2022 Shoulder injuries can be quite complex and require months of careful physical therapy to overcome, which is what led to Roni Bandini to build a tinyML-powered wearable that monitors a patient’s rotator cuff movements to aid in the recovery process. His system is designed around a Nano 33 BLE Sense and its…… Continue reading Arduino device uses tinyML to help wearers recover from shoulder injury

From embedded sensors to advanced intelligence: Driving Industry 4.0 innovation with TinyML

Reading Time: 5 minutes Wevolver’s previous article about the Arduino Pro ecosystem outlined how embedded sensors play a key role in transforming machines and automation devices to Cyber Physical Production Systems (CPPS). Using CPPS systems, manufacturers and automation solution providers capture data from the shop floor and use it for optimizations in areas like production schedules, process control, and…… Continue reading From embedded sensors to advanced intelligence: Driving Industry 4.0 innovation with TinyML

This contactless system combines embedded ML and sensors to improve elevator safety

Reading Time: 2 minutes Arduino Team — January 29th, 2022 As an entry into the 5th IEEE National Level Project Competition, Anway Pimpalkar and his team wanted to design a system that could help improve safety and usability within elevators by detecting if a human is present, the floor they wish to travel towards, and automatically go to the ground floor in the event…… Continue reading This contactless system combines embedded ML and sensors to improve elevator safety

Instead of sensing the presence of metal, this tinyML device detects rock (music)

Reading Time: 2 minutes Arduino Team — January 29th, 2022 After learning about the basics of embedded ML, industrial designer and educator Phil Caridi had the idea to build a metal detector, but rather than using a coil of wire to sense eddy currents, his device would use a microphone to determine if metal music is playing nearby.  Caridi started…… Continue reading Instead of sensing the presence of metal, this tinyML device detects rock (music)

AIfES releases exciting new version of TinyML library for Arduino

Reading Time: 2 minutes Arduino Team — January 17th, 2022 Last July AIfES (Artificial Intelligence for Embedded Systems) from the Fraunhofer Institute for Microelectronic Circuits and Systems (IMS) was launched. This open source solution makes it possible to run, and even train, artificial neural networks (ANN) on almost any hardware, including the Arduino UNO.  The team hasn’t stopped work…… Continue reading AIfES releases exciting new version of TinyML library for Arduino

This Arduino device knows how a bike is being ridden using tinyML

Reading Time: 2 minutes Arduino Team — December 28th, 2021 Fabio Antonini loves to ride his bike, and while nearly all bike computers offer information such as cadence, distance, speed, and elevation, they lack the ability to tell if the cyclist is sitting or standing at any given time. So, after doing some research, he came across an example project…… Continue reading This Arduino device knows how a bike is being ridden using tinyML

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