As the only official strategic partner of Arm education, Anxin Education fully integrates high-quality industry and educational resources. To promote the reform and development of artificial intelligence talent training in higher education, and accelerate the construction of artificial intelligence majors.Anxin Education has launched the Arm Embedded AI Teaching Kit suitable for the construction of artificial intelligence courses in universities, striving to create high-quality education in artificial intelligence with international competitiveness.
The previous issue introduced the Arm Embedded AI Teaching Series – Arm Smart Connected Training Platform ASC-1000, which consists of a core board, wireless connection, sensor module, and display module, providing various course cases. The open software and hardware resources focus on cultivating students’ practical skills and can achieve topics related to Internet of Things and artificial intelligence such as teaching, scientific research, embedded development, and SoC design.This issue introduces the Arm Embedded AI Teaching Series – Visual Application Portable Experiment Box, see below for details!
Product Introduction
The Arm Embedded AI Visual Application Portable Kit is one of the teaching series products using EAIDK-610 as the core development platform, specially designed for AI teaching, focusing on image processing and edge computing.The source code-level algorithms provided by the development kit include complete teaching cases from image acquisition, image decoding to face recognition, and object detection, allowing trainees to better understand real application scenarios and get closer to engineering applications.
Product Performance
Kit Hardware Platform
Using a high-performance hardware platform (SoC RK3399) widely used in embedded intelligent front ends, such as visual face recognition systems, authentication comparison systems, commercial vehicle driving assistance ADAS systems, and intelligent monitoring.
Kit Software Platform
Equipped with the OPEN AI LAB Embedded AI Development Platform AID (which includes support for heterogeneous computing library HCL, embedded deep learning framework Tengine, and lightweight embedded computer vision acceleration library BladeCV). Supports heterogeneous computing with CPU, GPU, and DLA.
Also provides compatible Caffe/MXNet/TensorFlow training models and APIs, enabling more efficient implementation of artificial intelligence on embedded Arm platforms; all source code will be updated by OPEN AI LAB according to industry developments and can be obtained through the EAIDK official website (www.eaidk.net).
Product Configuration
|
Serial Number |
Name |
Configuration Description |
|
1 |
EAI610-P0 |
EAIDK core board, RK3399, 4G/16G |
|
2 |
5.5-inch display touch integrated screen |
MIPI interface, resolution 720 x 1280 |
|
3 |
OV9750 main camera |
MIPI CSI, 1080P |
|
4 |
USB dual-camera |
2 million, 1080P |
|
5 |
Camera bracket | — |
| 6 | PP plastic box + foam lining HCL | — |
| 7 | Heterogeneous computing library |
Binary library and development documentation |
| 8 | Tengine |
Deep learning code and development documentation |
| 9 | BladeCV |
Machine learning library, binary library and development documentation |
| 10 | Supporting teaching cases |
Image acquisition, image processing, video encoding, video decoding, video analysis background extraction, etc. 10 cases |
Teaching Cases
| Arm AI Experiment Box (Visual Application Kit Teaching Cases) | |
| Case Name | Description |
| Image Acquisition | Learn to acquire image data from hardware devices and familiarize with image format (YUV, RGB) conversion, understanding the concept of V4L2 |
| Image Processing | Learn the basic methods of image processing and understand the functions of various image processing methods |
| Video Encoding | Learn the concept and methods of video encoding, master the use of hardware encoders, and understand the H264 encoding standard |
| Video Decoding | Learn the concept and methods of video decoding, master the use of hardware decoders, understand H264 and H265 encoding standards, and understand RTSP protocol |
| Video Analysis Background Extraction | Learn the concept of video analysis and understand the methods of background extraction in video |
| Face Detection (Traditional Machine Learning Method) | Learn the concept of face detection and understand the adaboost face detection method |
| Object Detection (Deep Learning Method) | Learn the concept of object detection and understand the Mobilenet-SSD object detection method |
| Face Feature Extraction (Deep Learning Method) | Learn the concept of face feature extraction and understand the LightCNN face extraction method |
| Face Recognition System | Learn the method of constructing a face recognition system and understand concepts like 1:1, 1:N, etc. |
| Stereo Vision | Learn the concept of stereo vision and master the method of calculating depth information using dual cameras |
If you need further information about the Arm Embedded AI Teaching Kit, please contact Mr. Zhu, the project leader of Anxin Education (Contact number: 13601776483).
Anxin Education is an innovative educational platform focused on the artificial intelligence and Internet of Things industries, and is the only official partner of the “Arm Smart Connected” and “Arm Future Core” courses and certification system.
Anxin Education relies on Arm education’s global resources, rooted in the Arm ecological industry circle, builds cutting-edge technology laboratories and training bases, develops ASC (Arm Smarter Connected) – “Arm Smart Connected Talent Training” and AFE (Arm Future Engineer) – “Arm Future Core STEM Education” curriculum systems, gathers professional teaching staff and efficient operation teams, and builds an online digital education platform to provide schools, in-service technical personnel, and industry enterprise users with talent training, internet learning, brand certification, innovation and entrepreneurship, and employment connection services based on Arm technology, dedicated to cultivating a large number of technical talents in the fields of artificial intelligence, Internet of Things, and other smart connected areas for society and enterprises.
