Originally published at: Edge AI Computer Vision | WSQ Courses – WSQ courses | SkillsFuture Courses
Edge AI is increasingly important for internet of things (IoT) as more devices (things) are connected to the internet. Compared to traditional cloud computing paradigm, edge AI computing improves speed, reduces data bandwidth and have better protection against cyber threats. .
This course will teach you how to setup Raspberry Pi and Tensorflow Lite Library for edge AI computer vision system.
- Setup Raspberry Pi and Tensorflow Lite
- TFLite Image Classification
- TFLite Object Detection
- TFLIte Image Segmentation
Each participant will receive a set of material listed below
- Raspberry Pi 4 4G
- Power Adaptor
- microSD Card
- HDMI Cable
- High Resolution USB Camera
All participants will receive a Certificate of Completion from Tertiary Courses after achieved at least 75% attendance.
Funding and Grant Applications
SGTech STAR Fund
Free course for SGTech members after SGTech STAR Funding.. For details, check here.
For WSQ funding, please checkout the details at NICF – Computer Vision for Beginners
Courses are provided by tertiarycourses.com.sg