Vision-Based Motion Sensor

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Presentation transcript:

Vision-Based Motion Sensor Jacaqueta Davis Brock Dickinson Michael Ledet Department of Computer Science and Industrial Technology Southeastern Louisiana University 500 W University Ave, Hammond, LA 70402

Objective The objective of this project is to build a low cost motion detection device that will detect a human presence.

Low cost components Advanced Capabilities for Interfacing Initial Thoughts Low cost components Advanced Capabilities for Interfacing → Components combined price under $20 → Can program in Arduino IDE and AVRdude (command line terminal)

Basic Outline of Steps Involved Order parts Design circuit(s) on paper/software Test all parts for compatibility Build device 5. Develop code 6. Test and modify 7. Design and 3D print housing 8. Encase in housing and present

Equipment Adafruit Trinket Mini Pinhole camera Additional basic electronic components 3D printer Equipment Pinhole camera Adafruit Trinket Mini

Obstacles There will be several unexpected troubleshooting and bug fixes, which we have dedicated time reserved. The optical receivers being used to detect the actual motion will need a lot of tuning as to not be too sensitive.

Progression Researched Trinket Downloaded drivers and libraries Troubleshooted code issues

Progression Interfaced with spy cam Began coding motion detection sequence Researching topics: image analysis and processing File structure and manipulation for Trinket

Image Analysis Researching file organization and manipulation of image format used by optical sensor File Manipulation for program control Pixel Comparison Ability to program the Trinket directly with AVR-GCC as the compiler ( command line interface)

Potential Issues Information may have to be sent and processed at another computer Complex algorithms may be needed for human detection Processing speed may need to be boosted

Deliverables

Deliverables

References Trinket Mini 5V <https://www.adafruit.com/products/1501?gclid=CK68gPKMh9MCFdy6wAodk3MF6Q>. Optical Sensor <https://www.adafruit.com/products/3202>. https://www.adafruit.com/products/3202 https://en.wikipedia.org/wiki/PIC_microcontroller#/media/File:Microchip_PIC24HJ32GP202.jpg https://i.ytimg.com/vi/m-_t_aIlQwg/maxresdefault.jpg