DATA COMMUNICATION FOR INTEGRATING LIVE IMAGE STREAMING OF HUMAN POSE RECOGNITION AND MOBILE APPLICATION IN SMART HOME WARNING SYSTEM IMPLEMENTATION
In 2017, the number of theft victims in Indonesia amounted to 84.47%, this increased in 2018 to 84.48% based on data from the Central Statistics Agency (BPS). Some of these crime causes the death of the victim. Home security which is still simple and undeveloped makes this crime common and even i...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/69422 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | In 2017, the number of theft victims in Indonesia amounted to 84.47%, this
increased in 2018 to 84.48% based on data from the Central Statistics Agency
(BPS). Some of these crime causes the death of the victim. Home security which is
still simple and undeveloped makes this crime common and even increasing. There
are 61.21% of people in Indonesia who still use simple home security such as
padlocks, regular door locks, and layered door bars based on BPS’s data and it
causes 58.85% of people in Indonesia are concerned about leaving their homes
unoccupied because of simple home security.
The author creates an integrated system using Kinect v2 cameras integrated with
mobile applications for monitoring in this project. This project can replace or help
the supervision’s job of the residence through a human pose recognition system
with real time data communication and mobile applications. Human pose
recognition system will classify an action captured by a Kinect v2 camera, based
on the predefined parameters i.e. normal and abnormal movement. If the camera
detects a suspicious action that classified into abnormal movement, then the system
send a notification to user through the mobile app. |
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