Latest Components
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onsemi AR2020 SensorsDescription
The onsemi AR2020 is a 20 MP, 1/1.8-inch back-side illuminated stacked CMOS digital image sensor with a 5120 x 3840 active-pixel array. It features rolling shutter readout, enhanced dynamic range modes, and excellent low-light and NIR performance while consuming very low power. Ideal for applications such as videoconferencing, machine vision, and biometrics.
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u-blox NEO-F9P SensorsDescription
The u-blox NEO-F9P is a multi-band GNSS positioning module with integrated RTK technology, delivering centimeter-level accuracy for industrial applications. It features fast convergence times, robust jamming and spoofing protection, and supports a range of correction services. Its compact, energy-efficient design enables easy integration into mass-market products.
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u-blox MIA-M10 series SensorsDescription
The u-blox MIA-M10 series is an ultra-low-power GNSS module designed for miniature asset-tracking devices. It supports concurrent reception of four GNSS systems (GPS, GLONASS, Galileo, and BeiDou) and offers high sensitivity and fast acquisition times. The compact System-in-Package requires minimal board space and is optimized for battery-powered applications.
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onsemi AR0822 SensorsDescription
The AR0822 is an 8-megapixel stacked 1/1.8-inch BSI CMOS digital image sensor featuring a 2.0 μm pixel and an active-pixel array of 3840 x 2160. It supports 4K video at 60 fps and offers advanced eHDR modes up to 120 dB with rolling-shutter readout. Ideal for security, robotics, and automotive imaging applications.
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STMicroelectronics STEVAL-MKBOXPRO SensorsDescription
The STEVAL-MKBOXPRO is a ready-to-use programmable wireless development kit for IoT applications, featuring multiple motion and environmental sensors, Bluetooth Low Energy, NFC, and a digital microphone. It supports rapid prototyping and app development for users of all expertise levels, with a rechargeable battery and wireless charging. Ideal for remote data gathering, asset tracking, and human activity recognition.
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H&D Wireless Raven IoT Sensor Box 827 SensorsDescription
The Raven IoT Sensor Box 827 is a wireless sensor solution for monitoring the health and status of industrial or smart city assets. It uses LTE-M and NB-IoT cellular connectivity for remote condition-based maintenance and asset tracking, with integration to the Griffin IoT Cloud. No local Wi-Fi or Bluetooth infrastructure is required, making deployment simple and scalable.
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onsemi NCS32100 SensorsDescription
The NCS32100 is a high-accuracy, dual-inductive rotary position sensor designed for industrial automation and motor control applications. It offers contactless absolute encoding, integrated MCU with firmware, and delivers position and velocity outputs. The sensor features high speed operation, robust reliability, and easy integration.
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Arduino ABX00061 SensorsDescription
The Arduino Nicla Voice is a compact board designed for always-on speech recognition at the edge, featuring Syntiant’s NDP120 Neural Decision processor. It includes a microphone, 6-axis motion sensor, magnetometer, and Bluetooth Low Energy connectivity, making it ideal for AI-powered voice and gesture recognition applications. Its ultra-low power consumption enables 24/7 operation, suitable for wearables and predictive maintenance.
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STMicroelectronics ISM330DHCX SensorsDescription
The ISM330DHCX is a high-performance 6-axis MEMS inertial module combining a 3D digital accelerometer and a 3D digital gyroscope. It features a machine learning core, programmable finite state machine, and advanced embedded functions for industrial and IoT applications. The device offers superior stability, low noise, and full data synchronization in a compact LGA package.
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STMicroelectronics STEVAL-PROTEUS1 SensorsDescription
The STEVAL-PROTEUS1 is an industrial sensor evaluation kit designed for wireless temperature and vibration monitoring in condition monitoring applications. It features a 2.4 GHz multiprotocol wireless SoC, multiple MEMS sensors, and comprehensive software for rapid prototyping and predictive maintenance. The kit includes a rechargeable LiPo battery, plastic case, and supports machine learning for anomaly detection.