Features
- Cortex-A55 (dual or single)
- Cortex-M33
- 3D graphics engine (Arm Mali-G31)
- Camera interface (MIPI-CSI)
- Display interface (MIPI-DSI)
- USB 2.0 interface 2ch、SD interface 2ch
- CAN interface (CAN FD)
- Gigabit Ethernet 1ch
- Memory error detection/correction (ECC)
- DDR4 or DDR3L memory interface
- BGA package (13mm x 13mm)
Description
The RZ/G2LC microprocessor includes a Cortex®-A55 (1.2GHz) CPU, 16-bit DDR3L/DDR4 interface, and 3D graphics engine with Arm® Mali-G31. It also has many interfaces such as camera input, display output, USB 2.0, and Gbit-Ether, making it ideal for applications such as entry-class industrial human-machine interfaces (HMIs) and embedded devices with GUI capabilities.
As a software platform for this product, Renesas provides the Verified Linux Package, which includes the Linux Kernel, middleware drivers, and basic software for this product. The Verified Linux package is verified and provided by Renesas. (For other operating systems support, please contact your local sales representative or distributor).
Product Comparison
Parameters
Attributes | Value |
---|---|
CPU Architecture | Arm |
Main CPU | Cortex-A55 x 1 + Cortex-M33 x 1, Cortex-A55 x 2 + Cortex-M33 x 1 |
Program Memory (KB) | 0 |
RAM (KB) | 128 |
Carrier Type | Bulk (Tray), Full Carton (Tray) |
Supply Voltage (V) | 2.97 - 3.63 |
I/O Ports | 57 |
NPU | No |
DRAM I/F | DDR3L-1333, DDR4-1600 (16-bit) |
3D GPU | Arm Mali-G31 |
Temp. Range (°C) | Ta = -40 to +85 |
Operating Freq (Max) (MHz) | 1200 |
Ethernet speed | 10M/100M/1G |
Ethernet (ch) | 1 |
EtherCat (ch) (#) | 0 |
USB FS (host ch/device ch) | ( 2 / 2 ) |
USB HS (host ch/device ch) | ( 2 / 2 ) |
USB SS (host ch/device ch) | ( 0 / 0 ) |
PCI Express (generation and ch) | No |
SCI or UART (ch) | 6 |
SPI (ch) | 3 |
I2C (#) | 4 |
CAN (ch) | 2 |
CAN-FD (ch) | 2 |
Wireless | No |
SDHI (ch) | 2 |
High Resolution Output Timer | No |
PWM Output (pin#) | 0 |
32-Bit Timer (ch) | 10 |
16-Bit Timer (ch) (#) | 7 |
8-Bit Timer (ch) | 0 |
Standby operable timer | No |
Asynchronous General Purpose Timer / Interval Timer (ch) | 0 |
16-Bit A/D Converter (ch) | 0 |
14-Bit A/D Converter (ch) | 0 |
12-Bit A/D Converter (ch) | 0 |
10-Bit A/D Converter (ch) | 0 |
24-Bit Sigma-Delta A/D Converter (ch) | 0 |
16-Bit D/A Converter (ch) | 0 |
12-Bit D/A Converter (ch) | 0 |
10-Bit D/A Converter (ch) (#) | 0 |
8-Bit D/A Converter (ch) | 0 |
Capacitive Touch Sensing Unit (ch) | 0 |
Graphics LCD Controller | No |
MIPI Interfaces (DSI) (ch) | 1 |
MIPI Interfaces (CSI) (ch) | 1 |
Image Codec | No |
Segment LCD Controller | No |
Security & Encryption | AES,RSA,ECC,Hash,TRNG,Arm TrustZone,Secure boot, No |
Package Options
Pkg. Type | Pkg. Dimensions (mm) | Lead Count (#) | Pitch (mm) |
---|---|---|---|
LFBGA | 13 x 13 x 1.4 | 361 | 0.5 |
Application Block Diagrams
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High-End Central Thermostat
Central thermostat system integrates satellite thermostats for smart climate control and efficiency.
|
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Industrial IoT Gateway with Multiple PHY
Scalable IIoT gateway with edge processing and rich wired and wireless interfaces.
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Barcode Scanner System
Dual-core Cortex-A55-based barcode scanner with object detection, safe operation, and flexible connectivity.
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HMI SoM with AI Accelerator |
Additional Applications
- Industrial HMI+GUI
- Home appliance
- Smart thermostat
- Home security camera
Applied Filters:
Filters
Software & Tools
Sample Code
Simulation Models
A single-chip solution for building high-performance HMI. Delivers high processing speed, including AI inference, based on Arm® Cortex®-A55 and embedded with all HMI functions.
Related Resources
This video introduces the AI BSP of the RZ/G series.
Edge-AI can be easily realized with Renesas RZ/G MPU by using OSS-based AI BSP.
00:00 Opening
00:10 The Features of RZ/G AI BSP
00:40 RZ/G2 AI Edge AI DEMO
01:00 Pose Estimation
01:50 Face Detection and IRIS Detection
03:10 Closing
Related resources:
Discover how we’re advancing Human Machine Interface (HMI) with edge AI to bring greater efficiency, security, and convenience to businesses and consumers. With our RZ/G2L and RZ/G2LC MPUs, we boost processing performance by 20% and enable native edge AI functionality, supporting popular AI frameworks for seamless integration.
Related Resources