LinkPi ENC5 Evaluation board - HDMI/NDI Encoder Decoder HD smartP AVBR/RTMP/ONVIF Live Broadcast YouTube

WIKI: https://wiki.youyeetoo.com/en/LinkPi
FAQ How to activate an NDI licence
Tips:

• After purchasing, please back up the NDI authorization code, one code per machine to avoid loss.
• You can also use NDI DEMO without purchasing an NDI license. It can be used for 30 minutes after startup, and the screen will be black after 30 minutes, and it can be used again for 30 minutes after restarting. But this only affects NDI, not other protocols (such as SRT, RTMP, RTSP, HTTP, UDP, etc.).

Introduction

Product features Ultra-clear input, high performance, high configuration, customizable, expandable 4K-HDMIx5 8x1080P or 2×4K simultaneous real-time encoding and decoding 2GB DDR3256MB Nand Flash Open source system supports secondary development, expandable touch screen audio board, battery pack, etc. Interface layout performance parameters Core performance Main chip: Hi3531DV100 CPU: ARM Cortex A9 dual-core @1.4GHz Memory: 2GB DDR3 Flash: 256MB Nan

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Ultra-clear input	high performance	High profile	customizable	Scalable
4K-HDMIx5	8x1080P or 2×4K ?simultaneous real-time encoding and decoding	2GB DDR3 ?256MB Nand Flash	Open-source system ?supports secondary development	Extensible touchscreen ?audio board, battery pack, etc.

Interface layout

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Core performance

input interface

Output Interface

Codec performance

other

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Note: The PCB location map is included in the development data, please refer to the actual measurement.

We have carefully produced a wealth of sample tutorials, covering audio and video input and output, audio and video codec, screenshots, streaming, recording, video mixing, special effects overlay, USB camera, GPIO operation, power management, touch screen operation, OLED screen control, etc. Links to help you remove all the problems that may be encountered in the product development process.We will continue to update sample projects and tutorials.

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To facilitate users to develop products in the field of machine vision and AI, we have developed the LinkSVP framework to simplify the upstream and downstream development process and allow developers to focus on core algorithms. At the same time, several sample programs have been made to help users easily get started.Even in the scheme with NNIE unit, we provide tools for the acceleration of embedded optimization and can also run deep learning algorithms.

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