As part of the RZ/V Series, the new RZ/V2L has the company’s ‘DRP-AI’ artificial intelligence accelerator, with operating frequency and memory interface scaled for entry-level applications.
The DRP-AI provides real-time inference and image processing with camera support such as colour correction and noise reduction.
In this case it is described as “1Top/s/W class”) and can run Tiny YOLOv2 at 28frame’s.
“This enables customers to develop AI-based vision applications, such as point-of-sale terminals and robot vacuum cleaners, without requiring an external image processor,” according to Renesas.
It comes in 15 mm square or 21 mm square BGA packages that are pin-compatible with the existing general-purpose MPUs, allowing RZ/G2L users to upgrade an AI-capable processor.
As part of the the RZ/V2L development environment, Renesas offers DRP-AI Translator, a tool that automatically converts AI models into an executable format. The input format is industry-standard ONNX (open neural network exchange).
- Dual or single 1.2GHz 64bit Arm Cortex-A55
- 16bit, single-channel DDR memory interface
- Arm Mali-G31 3D graphics
- H.264 video codec
- MIPI-CSI and parallel CMOS camera interfaces
- MIPI-DSI and parallel display interfaces
- Memory with ECC (error checking and correction)
- ISP functions for machine vision (up to HD) in DRP library
- Verified Linux package (VLP) based on Civil Infrastructure Platform Linux
RZ/V2L evaluation boards are available, and provide: “circuit diagram and board layout, and include a power supply circuit and timing tree”.
A power management IC optimised for RZ/V2L in the pipeline, and examples combining them are expected in the second half of this year.
The RZ/V2L product page is here