This is a battery management solution, for a 20 – 28 cell battery. It has a daisy chain feature, RS-485 to external PC and takes command line interface commands.

This solution is suitable for home appliances and provides non-contact touch operation at various programmed distances using the RA2E1 32-bit MCU.

This mini metering solution accurately measures power consumption, voltage, current, time, and CO₂ emission values of electric appliances.

AI-only Accelerator (DRP-AI), 4K-compatible Image Signal Processor (ISP), Vision-AI ASSP for real-time human and object recognition.

This wireless rangefinder measures the distance from an observer to a target and is optimized for handheld applications.

A high-voltage powertrain system with modularly integrated wired/wireless charging, a battery management system and optional Bluetooth^® wireless connectivity.

This solution uses the RA2A1 32-bit MCU and shows Renesas’ unique ASi4U-v5 transceiver chip communicating via an ASi-5 bus with multiple sensors.

A camera solution using the RZ/A2M's high-speed image processing and DRP technology for detecting faces and barcodes, supports an on-board emulator for fast development.

This solution that consists of an RA6M3 MCU board with rich connectivity and multiple sensors allows data to be visualized through the Avnet IoTConnect platform's API.

This solution shows the RA2L1 MCU's CAN capability using an isolated RS-485 transceiver to give connection, encryption and decryption between multiple boards and sensors.

This is a multi-sensor solution demonstrating indoor air quality (ZMOD4410), outdoor air quality (ZMOD4510) or refrigerator air quality (ZMOD4450).

The solution demonstrates a CMOS image sensor (CIS) board with phase-detection autofocus (PDAF) and a high-performance image signal processing (ISP) board.

This smoke detector solution using the RAA239101 low-power AFE IC with the RL78/G12 MCU includes peripherals and features for a photoelectric smoke detector system.

This solution shows the transient, line and Load regulation capability of the ISL81802 80V, high voltage, dual synchronous buck controller.

This reference design allows users to perform two functions, a power-up sequence and a power-down sequence, using the GUI targeted for their specific application.

This board supports USB Power Delivery (PD) Specification Rev. 3.0 and USB-Type C. The R9A02G011 USB PD controller performs authentication to accept USB Type-C.

This board uses a standard 4-20mA loop to transmit data over large distances in industrial environments. It is resistant to surrounding noise.

This solution is a Linux-based AI development platform using the RZ/G2 MPU which is suitable for human machine interface (HMI), 3D animation or 4K UHD playback.

This is an automated system to configure and evaluate the phase noise performance of the VersaClock^® 7 family and generate preliminary addendum and orderable part number.

This solution is the most ideal way to quickly and easily get started developing applications and products using the DA14531 Bluetooth^® Low Energy SoC.

This solution demonstrates multiple capacitive proximity sensors used to detect hand gestures using a robotic arm. Up, Down, Right, Left, and Tap gestures can be tried by users.

In this solution, multiple slaves are controlled by a single master using DALI protocol over AWS. Users are guided step-by-step to set up communication through their AWS account.

The RX family is suitable for applications requiring digital signal processing. This solution performs analog signal input, IIR filter, FFT, and HMI processing with a single microcontroller.

This solution is a reference kit that enables easy initial evaluation and advanced development of motor control systems with high voltage 220V AC servo motor.

This solution demonstrates a rotary encoder where users can measure the accuracy, Sine/Cosine, of a motor by controlling the speed and direction of the motor.

The SMARC 2.1 compliant SOM solution shows AI-enabled traffic analysis. It is an RZ/V-compatible platform for computer vision-based Artificial Intelligence of Things (AIoT)  sensors and solutions.

With this lab, users can set various AC input and load conditions to measure error percentage with the Smart DLMS-based 1-phase energy meter solution, where communication with a meter through DLMS can also be observed.

This image processing solution utilizing the RZ/A2M MPU, featuring an Arm^® Cortex^®-A9 CPU designed for embedded artificial intelligence (e-AI) based imaging, shows very high-speed processing using Dynamically Reconfigurable Processor (DRP) technology.