Overview
Description
GR-MANGO is the Gadget Renesas board for the Renesas RZ Family's RZ/A2M group of microprocessor (MPU) products. The layout is compatible with Raspberry Pi 4, GR-MANGO is an Arm® Mbed™ enabled development platform. Additionally, the Dynamically Reconfigurable Processor (DRP) equipped in the RZ/A2M can perform image processing that is 10 times faster than conventional CPU processing. The library for DRP enables power-saving and high-speed processing of camera images.
Also, GR-MANGO supports real-time OSs (FreeRTOS, Azure RTOS) and various libraries (SSL/TLS, OTA, MQTT, TCP/IP, etc.) for IoT devices provided by major cloud vendors such as Amazon Web Services (AWS) and Microsoft.
In addition, it is equipped with input/output interfaces such as HDMI, audio, Ethernet, USB, and CAN, and can realize high-level IoT systems and embedded AI.
Technical Information
- Mbed site
- Core Group Vendor Site
- FreeRTOS™ Software Package
- AWS Partner Device Catalog
- Azure Certified Device Catalog
- Azure RTOS Sample
Schematic/Design
GR-MANGO Board Distributors
Features
- Equipped with Renesas' original Dynamically Reconfigurable Processor (DRP) technology
- Equipped with Arm Cortex®-A9 RZ/A2M
- High-speed operation of CPU 528MHz
- Built-in RAM 4MB, external 16MB
- MIPI-CSI camera interface
- Micro HDMI
- Ethernet
- Audio In/Out
- USB host function (Type-C)
- CAN
- microSD
Applications
Design & Development
Resources
Support
Support Communities
- RZ A2M GR-Mango MIPI virtual channels
Hi All, We are using RZ A2M GR-MANGO board, and we have MIPI input stream on all 4 virtual channels. Does Rz A2M support 4 virtual channel streams simultaneously? MIPI driver file, r_mipi_api.c API "R_MIPI_Open" has Virtual channel selection, and looks like one virtual ...
Jul 23, 2021 - RZ A2M GR-MANGO MIPI frames missing
Hi All, We are using RZ A2M GR-MANGO board, and we have MIPI input stream. When we are transmitting set of MIPI frames say 30 frames, the first 3 frames, and last frame are not triggered on this RZ/A2M side. Can someone guide us on how to ...
Aug 11, 2021 - GR-Mango Tensorflow
Hello, This is regarding GR-Mango.I tried using my custom dataset and modified the code accordingly. 15 folders each- 8 images in train, 2 in val. # In[3]: data_height, data_width, data_channel = 128, 128, 3 class_num = len(label_list) print(class_num) # Training train ...
Mar 20, 2024
Support Communities
