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Industrial

Household Smoke Detector Development Board

This solution uses a highly integrated RAA239101 low power analog front end (AFE) IC and includes all necessary peripherals and features required for a photoelectric smoke detector system, mainly focused on residential smoke detector designs. It is implemented using two key components, the RL78/G12 low power microcontroller and the RAA239101 photoelectric smoke detector AFE IC.

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Automotive

Low-cost TFT instrument cluster with telematics

High-end automotive microcontrollers supporting basic or low-level 2D drawings are included on this board for the instrument cluster

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Power and Energy

USB-PD with Turbo boost

This board supports USB Power Delivery (USB-PD) Specification Revision v3.0 and supports USB Type-C. The R9A02G011 USB-PD controller performs authentication to accept USB Type-C. It works with input voltages of 5V to 20V and output voltages of 35V/45W, which is beyond USB-PD output voltage level.

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Industrial

High Precision Analog Measurement

This is a kit for evaluating the analog front end(AFE) integrated in the RX23E-A. The kit consists of an evaluation board with the RX23E-A and peripheral circuits for sensor measurement, and is provided with the GUI. The user can set the register of the AFE on the GUI and check the measurement results graphically. RX23E-A is a group from the RX MCU family with integrated high-precision analog front-end. Thanks to low noise and low drift of AFE features, the high-precision sensor measurement can be achieved with computation performance, system control, and communication in one chip.

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IoT

Arducam SPI Mega Camera

Arducam engineered for seamless integration with ultra-low power consumption and SPI connectivity, it ensures stability and precision, while the Autofocus Lens suits diverse IoT applications, multiplex up to 4 cameras on a single MCU for sequential data capture.

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RZ/V2M SMARC: Object Detection Solution

Generating digital metadata from visual acquisition, processing, analysis, and understanding requires a high-performance MPU with AI capabilities. The EU092 - RZ/V2M SMARC, System on Module (SoM) solution from Renesas helps designers manage these crucial decision processes. It features a high-performance dual-core Arm® Cortex®-A53 MPU and dedicated high-speed hardware AI inference (DRP-AI). Unlike a single-board computer, an SoM is designed for a specific function, reducing baseboard costs and simplifying the enhancement of embedded computer applications. The board features are: Low power Edge-AI (1 TOP/Watt) and low heat dissipation. Object detection with bounding box. As no heatsink or cooling fan is required, the equipment can be miniaturized and BOM cost can be reduced.

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Key Technologies

Mbed™ Based Image Processing Solution

The RZ/A2M MPU features an Arm® Cortex®-A9 CPU and is designed for e-AI based imaging that requires high-speed image processing with Dynamically Reconfigurable Processor (DRP) Technology. You can try the image processing by editing MicroPython code on the lab. This image processing solution enables rapid-prototyping for a smart camera that includes a smart display, network capabilities, storage, an audio jack, and interfaces for sensors.

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240W AC to DC USB-C PD 3.2 Adaptor

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Digital Illuminometer

The solution incorporates RA2A1 microcontroller , Integrated light sensor (ISL29035), OLED display and a cap-touch keypad. It can be used to monitor the lux value of a variety of lighting conditions.

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