Tuesday, April 23, 2024

Controller For Flying Robots And Machines

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The controller is designed for eco-friendly advanced flying systems, equipped with AI processing and support for multiple cameras, catering to aerial robots and autonomous machines.

Eagle kit

The MRD5165 Eagle Kit from Mistral is a controller platform for autonomous machines and aerial robots. It includes an AI/ML processing engine and an independent flight controller unit, suitable for powering aerial robots and autonomous flying systems.

The system has an AI/ML Neural Processing Unit (NPU) for on-board and edge analytics and real-time data inferencing. It has an Image Signal Processor (ISP) that supports multiple concurrent cameras alongside a Graphics Processing Unit (GPU).

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The system features a low-power Digital Signal Processor (DSP) for capturing and analyzing sensor data. It offers connectivity options for diverse applications, including Long-Range WiFi and 5G.

The Eagle Kit includes the MRD5165 System on Module (SOM), MRD5165 Eagle Board, and MRD5165 Flight Control Unit. It is built around the Qualcomm QRB5165 System on Chip (SoC) and the CubePilot CubeOrange+ Flight Control Unit (FCU).

The system has an on-device AI engine that supports the 5th generation Qualcomm AI Engine with Hexagon Tensor Accelerator, capable of executing 15 trillion operations per second for complex AI and deep learning applications.

It supports Visual Simultaneous Localization and Mapping (VSLAM) for mapping the environment and determining location using visual data, combining computer vision, image processing, and sensor fusion techniques.

The system has computer vision capabilities with hardware acceleration for advanced applications, using a dedicated computer vision hardware block based on the Qualcomm Adreno 650 GPU.

It supports six concurrent cameras, allowing simultaneous processing by the Qualcomm Spectra 430 ISP and Qualcomm Adreno 665 VPU.

The system has multi-connectivity and interfaces, supporting high-speed Input/Output (I/O) options for various robotics, machine vision, and autonomous applications.

The system is designed with a reduced carbon footprint, featuring a size, weight, and power-optimized design for high compute performance per watt, making the end product environmentally friendly.

For more information, click here.

Nidhi Agarwal
Nidhi Agarwal
Nidhi Agarwal is a journalist at EFY. She is an Electronics and Communication Engineer with over five years of academic experience. Her expertise lies in working with development boards and IoT cloud. She enjoys writing as it enables her to share her knowledge and insights related to electronics, with like-minded techies.

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