This system uses one Nicla Sense ME to gather air quality information about the surrounding environment with its onboard BME688 gas sensor.
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Computer Vision systems can automatically take readings from analog meters and displays, eliminating the need for manual reading and recording.
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The Artix7 35T FPGA Arty Evaluation Kit, designed by Avnet and Diligent, is a completely customizable development kit perfect for embedded designers looking for a flexible, low-power FPGA platform.
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Carrier cards and carrier boards, also referred to as baseboards, implement application specific functionality, I/O interfaces, peripherals and power supplies for computing applications.
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The X-NUCLEO-IDB04A1 is a Bluetooth low energy evaluation board that allows expansion of the STM32 Nucleo boards.
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This Arduino-powered solution implements an energy monitoring-based anomaly detection system using a current sensor and machine learning models running on edge devices.
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This block diagram based on the Intel Atom processor E3900 series empowers real-time computing in digital surveillance.
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This design is a proof-of-concept device which can count passengers in real-time at high speed and can give an alert if the number of people in an elevator is above a threshold.
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Access real-time power usage, interact with your consumption plan, and use daily stats and seasonal forecasts for efficient energy management.
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The energy meter enables real-time measurement and monitoring of electrical current consumption, providing valuable and useful insights into energy usage patterns to the user.
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Environmental monitoring system based on sensor nodes that monitor each room and send the collected data to a gateway that can display it locally or push it toward a cloud solution.
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Small and lightweight device that can be clipped onto one's belt and worn all day without hassle, able to monitor health parameters and immediately alert assistance in case of fall, with low...
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The home automation systems allow to control electronic devices remotely and to perform automatic routines based on the user's programming preferences, also optimizing energy costs.
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The i.MX 8M Mini EVK provides a platform for comprehensive evaluation of NXP's i.MX 8M Mini and i.MX 8M Mini Lite applications processors.
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Provides a platform for rapid evaluation of NXP's i.MX 8MQuad, i.MX 8MDual and i.MX 8MQuadLite Applications Processors, utilizing 2 to 4x Arm Cortex-A53s and 1x Cortex-M4 cores.
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This describes how to identify when intruders are trying to force an entrance door by analyzing surroundings sounds using a Nicla Voice, Machine Learning Tools, and the Arduino IoT Cloud.
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The LS1012A reference design board is a compact form-factor tool for evaluating and developing LS1012A-based application solutions.
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LoRaWAN, being a wireless technology, provides a cost-effective alternative, as it requires minimal infrastructure setup, reducing installation and maintenance costs.
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This subsystem uses the Portenta Max Carriers onboard CMWX1ZZABZ-078 LoRaWAN module from Murata and the Wi-Fi connectivity from Portenta X8 to build a Multi-Protocol Gateway.
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The STM32 Nucleo-64 development board, based on the STM32F411RE MCU, supports Arduino and ST morpho connectivity.
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Arduino Nicla Vision board can be tasked with recognizing different types of containers and sending the resulting data to the cloud automatically.
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Taking advantage of the control capabilities, sensor data analysis and cloud connectivity, Arduino Edge Control is perfect for managing agriculture applications.
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Say hello to Nicla Sense, the new sensory brain from Arduino, now built into your favorite a K-WAY jacket, powered by Edge Impulse AI, unleashing a new generation of smart clothing.
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This solution for tackling this issue revolves around using computer vision and machine learning to find small defects at the surface before automatically reporting the information.
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Tank level monitoring is essential for applications as water dispensers, water evaporators, streamers, boiler monitoring systems, heating systems, washing machines, steam irons, and so on.
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Control the temperature of a tank of industrial category using a Portenta Machine Control, Opta, a temperature sensor, and the Arduino PLC IDE.
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Connect an RTD or a Thermocouple to Portenta Machine Control and monitor the values using the Arduino PLC IDE.
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This system utilizes LoRa technology to enable remote monitoring of pest in vineyards. Arduino Pro allows farmers to monitor their activity with pheromone traps and collect the data remotely.
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Control your device with voice commands using the Arduino Speech Recognition Engine, which is a technology field that captures, interprets, and computes a voice to transform it into text (TTS).
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The Arduino Portenta X8 processor NXP i.MX 8M Mini Processor is capable of 3D rendering by using OpenGL to process the 3D-related calculations, allowing to display 3D content on a video output.
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