--- title: 'Computer Vision Applications in Raspberry Pi' disqus: CoderSchool --- Object Detection with Pi Camera === ## Table of Contents [TOC] ## Overview & Goals The era of Artificial Intellienge, 5G and IoT has come to the doorstep of everyone for the last few years. This time we have many improvements in the computation power and algorithms. And Raspberry Pi is one of best example of these improvements with its processing power within a compact form factor. The Raspberry Pi is a single-board mini computer that cost just under $50. This piece of computing board can perform many computing tasks for projects of robotic, automation and even machine learning. While Computer Vision is a subset of Machine Learning, we can expect that Raspberry Pi boards can yeld proficient results. >“Just as electricity transformed almost everything 100 years ago, today I actually have a hard time thinking of an industry that I don’t think AI (Artificial Intelligence) will transform in the next several years.” [name=Andrew Ng] Project Details --- ```gherkin= Feature: Human Detection with Pi Camera # Smart camera surveilance to track how many people in the scene Scenario: A coffe shop want to know the number of customer inside the shop in Real-time Condition: When the customer walk in the store, count += 1 When the customer walk out the store, count -= 1 # Detect the fall of people, or strange action Scenario: A kindergarden school want to know when a child fall or taking a sleep with face upside down. Given The children is with the sight of camera When The children fall off, Then Notify the caretaker or trigger an alarm ``` > I choose a lazy person to do a hard job. Because a lazy person will find an easy way to do it. [name=Bill Gates] Schematic Diagram --- ![](https://i.imgur.com/BXQllrx.png) Project Timeline --- ```mermaid gantt section Proposal Planning :a1, 2019-09-14, 4d Research previous work: a4, 2019-09-14,14d Writing the proposal: a2, 2019-09-18, 1d Wating for accecption: a3, 2019-09-18, 2d section Coding Raspberri Pi Coding :2019-09-18 , 14d Front End: 2019-09-18, 14d Back End: 2019-09-23, 9d Debug: 2019-09-21, 22d section Prepare for demo day Make presentation: 2019-10-12, 3d ``` ## Question? :::info **Contact me at:** tu.h.nguyen@hotmail.com ::: ###### tags: `Machine Learning` `CoderSchool` `Raspberry Pi` `Computer Vision`