Schlagwort: TinyML
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Controlling a bionic hand with tinyML keyword spotting
Reading Time: 2 minutesArduino Team — August 31st, 2022 Traditional methods of sending movement commands to prosthetic devices often include electromyography (reading electrical signals from muscles) or simple Bluetooth modules. But in this project, Ex Machina has developed an alternative strategy that enables users to utilize voice commands and perform various gestures accordingly. The hand itself was made…
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Reading analog gauges with the Nicla Vision
Reading Time: 2 minutesArduino Team — August 13th, 2022 Analog instruments are everywhere and used to measure pressure, temperature, power levels, and much more. Due to the advent of digital sensors, many of these became quickly obsolete, leaving the remaining ones to require either conversions to a digital format or frequent human monitoring. However, the…
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This system detects leaks by listening to water flowing through pipes
Reading Time: 2 minutesArduino Team — July 27th, 2022 Damaged, leaking pipes are not only a nuisance to clean up after, but they can also create major inefficiencies within water delivery systems, leading to a loss in both the water itself and the electricity required to disinfect and pump it. Over the past decade, water…
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Industrial IoT anomaly detection on microcontrollers
Reading Time: 2 minutesArduino Team — July 22nd, 2022 Consumer IoT (Internet of Things) devices provide convenience and the consequences of a failure are minimal. But industrial IoT (IIoT) devices monitor complex and expensive machinery. When that machinery fails, it can cost serious money. For that reason, it is important that technicians get alerts as…
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This device detects different household sounds through tinyML
Reading Time: 2 minutesArduino Team — July 14th, 2022 For people who suffer from hearing loss or other auditory issues, maintaining situational awareness can be vital for keeping safe and autonomous. This problem is what inspired the team of Lucia Camacho Tiemblo, Spiros Kotsikos, and Maria Alifieri to create a small device that can alert users to…
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Detecting harmful gases with a single sensor and tinyML
Reading Time: 2 minutesArduino Team — July 11th, 2022 Experiencing a chemical and/or gas leak can be potentially life-threatening to both people and the surrounding environment, which is why detecting them as quickly as possible is vital. But instead of relying on simple thresholds, Roni Bandini was able to come up with a system that can spot…
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Meet Nikola, a camera-enabled smart companion robot
Reading Time: 2 minutesArduino 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…
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These intelligent slippers sense regular activities and falls using machine learning
Reading Time: 2 minutesArduino 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…
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SafeDrill uses tinyML to encourage proper drilling technique
Reading Time: 2 minutesArduino 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…
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This Arduino device can anticipate power outages with tinyML
Reading Time: 2 minutesArduino 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…
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Introvention is a wearable device that can help diagnose movement disorders early
Reading Time: 2 minutesArduino 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…
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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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Train yourself to avoid using filler words with the tinyML-powered Mind the Uuh device
Reading Time: 2 minutesArduino 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…
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Arduino device uses tinyML to help wearers recover from shoulder injury
Reading Time: 2 minutesArduino 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…
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Arduino device uses tinyML to help wearers recover from shoulder injury
Reading Time: 2 minutesArduino 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…
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From embedded sensors to advanced intelligence: Driving Industry 4.0 innovation with TinyML
Reading Time: 5 minutesWevolver’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,…
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This contactless system combines embedded ML and sensors to improve elevator safety
Reading Time: 2 minutesArduino 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…
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Instead of sensing the presence of metal, this tinyML device detects rock (music)
Reading Time: 2 minutesArduino 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…
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AIfES releases exciting new version of TinyML library for Arduino
Reading Time: 2 minutesArduino 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…
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This Arduino device knows how a bike is being ridden using tinyML
Reading Time: 2 minutesArduino 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…
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This Arduino device can detect which language is being spoken using tinyML
Reading Time: 2 minutesArduino Team — December 8th, 2021 Although smartphone users have had the ability to quickly translate spoken words into nearly any modern language for years now, this feat has been quite tough to accomplish on small, memory-constrained microcontrollers. In response to this challenge, Hackster.io user Enzo decided to create a proof-of-concept project that demonstrated…
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This system classifies different types of clouds using tinyML
Reading Time: 2 minutesArduino Team — December 6th, 2021 At the basis of each weather forecast is data — and a lot of it. And although the vast majority of atmospheric data collection is fully automated, determining cloud volumes and types are still done manually. This problem is what inspired Swapnil Verma to create a project that utilizes machine…