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Industrial , Sensors

Multiwavelength Smoke Detector Reference Design

The JP252 is a multiwavelength optical smoke detector reference design built around the Renesas RL78/G22 microcontroller. It features an IR LED (850 nm), a Blue LED (470 nm), and a wideband photodiode to detect smoke using the principle of light scattering. By analyzing the response at different wavelengths, the system can distinguish between various smoke types, such as smoldering and flaming fires. The use of multiple scattering angles improves detection reliability and reduces false triggers. An integrated analog front-end amplifies the photodiode signal for accurate ADC sampling. The system also includes a red alarm LED, user control buttons, and a low-power design optimized for battery-powered smoke detection applications.

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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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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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Power and Energy

100W USB Type-C Input Power Converter

The JP214 is powered by Type-C source device and able to provide up to 20V@5A to DC output. DC output voltage and current limit can be changed by switches connected to the PDC.

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Power and Energy

Single Phase Energy Meter

Users can set various AC input and load conditions to measure the error % with Smart DLMS based 1-phase energy meter solution, where communication with meter through DLMS can also be observed.

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IoT

Voice Recognition Solutions

This demo system is a simple working solution that recognizes voice commands to initiate a corresponding operation. It uses an RA6M1 high-performance Arm® Cortex®-M4 core based MCU. It is highly efficient and supported by an open and flexible ecosystem – the Flexible Software Package built on FreeRTOS to reduce development time. The boards are trained with voice models to recognize commands, resulting in voice response, as well as voice match score.

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Artificial Intelligence , Microcontrollers and Microprocessors , Edge AI

RZ/V2N Based Edge AI Development Platform For Robotic Arm

The RZ/V2N from Renesas is a high-performance vision AI microprocessor (MPU) designed for edge applications that demand both advanced AI inference and low power consumption. Powered by Renesas’ proprietary DRP-AI3 accelerator delivering up to 15 TOPS, it is optimized for real-time vision processing in compact, energy-efficient systems. The key board features include: CPU Architecture: Quad Arm® Cortex®-A55 (1.8 GHz) + Arm® Cortex®-M33 (200 MHz). Image Processing: Integrated ISP with dual-channel MIPI® CSI-2® interfaces for dual-camera support. Connectivity: High-speed PCIe® and USB 3.2 for device expansion and system integration. Power Efficiency: Optimized for low power consumption, making it suitable for edge devices.

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IoT

Voice User Demonstration Kit

The VOICE-RA6E1 is an edge voice recognition platform designed for developing and evaluating voice user interface (VUI) applications. It leverages the Renesas RA6E1 MCU (Arm Cortex-M33, 200 MHz) with DSP and floating-point support, making it capable of real-time audio processing, beamforming, and lightweight machine learning. It integrates multi-channel voice capture for improved accuracy in noisy or multi-speaker environments, along with on-chip ADC/DAC and DSP functions for seamless audio input/output handling.

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Clock and Timing

Clock ICs and Clock Timing Solutions

Welcome to the Renesas Lab on the Cloud. The following user guide will help you to get started with the evaluation of Clock and Timing products in Lab on the Cloud. How to build a configuration file. Upload the configuration to measure Phase noise performance. Upload the configuration to request samples with the configuration pre-programmed.

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