Efficient People Counting in Thermal Images: The Benchmark of Resource-Constrained Hardware
IEEE Access, 2022 The monitoring of presence is a timely topic in intelligent building management systems. Nowadays, most rooms, halls, and auditoriums use a simple binary presence detector that is used to control the operation of HVAC systems.
Mateusz Piechocki +4 more
doaj +1 more source
Tiny Machine Learning for Resource-Constrained Microcontrollers
Journal of Sensors, 2022 We use 250 billion microcontrollers daily in electronic devices that are capable of running machine learning models inside them. Unfortunately, most of these microcontrollers are highly constrained in terms of computational resources, such as memory ...
Riku Immonen, Timo Hämäläinen
semanticscholar +1 more source
On-Device Training of Machine Learning Models on Microcontrollers with Federated Learning
Electronics, 2022 Recent progress in machine learning frameworks has made it possible to now perform inference with models using cheap, tiny microcontrollers. Training of machine learning models for these tiny devices, however, is typically done separately on powerful ...
Nil Llisterri Giménez +3 more
semanticscholar +1 more source
μNAS: Constrained Neural Architecture Search for Microcontrollers [PDF]
EuroMLSys@EuroSys, 2020 IoT devices are powered by microcontroller units (MCUs) which are extremely resource-scarce: a typical MCU may have an underpowered processor and around 64 KB of memory and persistent storage.
Edgar Liberis, L. Dudziak, N. Lane
semanticscholar +1 more source
HH-NIDS: Heterogeneous Hardware-Based Network Intrusion Detection Framework for IoT Security
Future Internet, 2022 This study proposes a heterogeneous hardware-based framework for network intrusion detection using lightweight artificial neural network models. With the increase in the volume of exchanged data, IoT networks’ security has become a crucial issue. Anomaly-
Duc-Minh Ngo +6 more
doaj +1 more source
Remote IoT Education Laboratory for Microcontrollers Based on the STM32 Chips
Italian National Conference on Sensors, 2022 The article describes the implementation of IoT technology in the teaching of microprocessor technology. The method presented in the article combines the reality and virtualization of the microprocessor technology laboratory.
P. Jacko +8 more
semanticscholar +1 more source
Deep learning on microcontrollers: a study on deployment costs and challenges
EuroMLSys@EuroSys, 2022 Microcontrollers are an attractive deployment target due to their low cost, modest power usage and abundance in the wild. However, deploying models to such hardware is non-trivial due to a small amount of on-chip RAM (often < 512KB) and limited compute ...
F. Svoboda +3 more
semanticscholar +1 more source
Efficient implementation of low cost and secure framework with firmware updates
IET Computers & Digital Techniques, 2023 Recently, the Internet of things (IoT) has become extensively used in our daily lives. This technology offers a new vision of the future internet where devices are interconnected and can communicate together. A big number of these devices complicates the
Ines Ben Hlima +2 more
doaj +1 more source
Wearable Biosensor: How to Improve the Efficacy in Data Transmission in Respiratory Monitoring [PDF]
International Journal of Electronics and Telecommunications, 2023 Respiratory rate measurement is important under different types of health issues. The need for technological developments for measuring respiratory rate has become imperative for healthcare professionals.
Kanthi M, Ravilla Dilli
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Custom Hardware Inference Accelerator for TensorFlow Lite for Microcontrollers
IEEE Access, 2022 In recent years, the need for the efficient deployment of Neural Networks (NN) on edge devices has been steadily increasing. However, the high computational demand required for Machine Learning (ML) inference on tiny microcontroller-based IoT devices ...
E. Manor, S. Greenberg
semanticscholar +1 more source