Big Bro - Keeping a closer eye on your safety!
Inspiration: There are roughly 2.5 million burglaries a year, 66% of those being home break-ins. The polices can solve only 13% of reported burglary cases due to lack of a witness or physical evidence. The idea can be extended to large scale of businesses, if security system is automated and reliable. Also it will help to deteriorate vandalism and illegal activities.
Lessons Learned:
- Working with AWS, Lambda, S3, ML-Libraries (rekognition library, cv2, boto)
- Distributing and steering tasks
- Evaluate and accommodate for available resources including time
How is it built: The main idea is to monitor the inside of the structure, detect the presence of a person via face detection, and if a person is detected an image capture is sent to the AWS server. Once the image is received, there is a file creation trigger that triggers an AWS Lambda function. The Lambda function then reads in the newly added image, compares it with the family images, and if no match is found it sends out an email with a website link where the website displays the captured image and creates an intruder alert. Otherwise, a match is found, and no alert will be created. The idea can be extended to monitoring both the outside and the inside of the house, and the inside of a vehicle, where the system can be turned on and off at the owner's will to accommodate for privacy.
Challenges faced:
- Image Analysis
- Brainstorming and Refining the idea
- Dealing with the AWS apis
- New Environment
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