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MAQBOOL T. added photos to project Android Board Based Intelligent Car Anti-Theft System Through Face Recognition Using GSM and GPS

Medium fd652ace d949 47f9 9210 f2e507f49e98

Android Board Based Intelligent Car Anti-Theft System Through Face Recognition Using GSM and GPS

A major problem today for car owners is that they are in constant fear of having their vehicles stolen from a common parking lot or from outside their home. Image processing based real time vehicle theft detection and prevention system provides an ultimate solution for this problem. In his project, a low-cost extendable framework for smart car security system is proposed, which consists of a FDS (Face Detection Subsystem), a GPS (Global Positioning System) module, a GSM (Global system for Mobile Communications) module and a control platform. The system described in this project automatically take photos of driver and compares his or her face with database to check whether he is an authenticated driver or not. The face detection subsystem bases on optimized PCA (Principle Component Analysis) algorithm and can detect faces in cars. The other modules
transmit necessary information to users and help to keep eyes on cars all the time, even when the car is lost. This system prototype is built on Android Board, controls all the processes. The owner is made able to perform car stopping through the message from his mobile. The GPS module in the car detects the location of the car. So by this system, the identification of the thief and the location of the car are simply smarter and cheaper than traditional one.

Medium face only

MAQBOOL T. created project Android Board Based Intelligent Car Anti-Theft System Through Face Recognition Using GSM and GPS

Medium fd652ace d949 47f9 9210 f2e507f49e98

Android Board Based Intelligent Car Anti-Theft System Through Face Recognition Using GSM and GPS

A major problem today for car owners is that they are in constant fear of having their vehicles stolen from a common parking lot or from outside their home. Image processing based real time vehicle theft detection and prevention system provides an ultimate solution for this problem. In his project, a low-cost extendable framework for smart car security system is proposed, which consists of a FDS (Face Detection Subsystem), a GPS (Global Positioning System) module, a GSM (Global system for Mobile Communications) module and a control platform. The system described in this project automatically take photos of driver and compares his or her face with database to check whether he is an authenticated driver or not. The face detection subsystem bases on optimized PCA (Principle Component Analysis) algorithm and can detect faces in cars. The other modules transmit necessary information to users and help to keep eyes on cars all the time, even when the car is lost. This system prototype is built on Android Board, controls all the processes. The owner is made able to perform car stopping through the message from his mobile. The GPS module in the car detects the location of the car. So by this system, the identification of the thief and the location of the car are simply smarter and cheaper than traditional one.

Medium face only

MAQBOOL T. added a comment on project Wheelie - Using Intel RealSense Technology to drive Wheelchairs.

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Wheelie - Using Intel RealSense Technology to drive Wheelchairs.

IDF16 demo. Wheelie is a hands-free solution that uses Intel RealSense technology to drive robotic wheelchairs. Wheelie allows you to set up key expressions as commands. Let's take a ride!

1-Here are the options: full-smile, half-smile, wrinkle nose, eyebrows up, kiss movement, tongue out and puffed cheek. 2-Pick up 5 of them. 3-Wheelie links the expressions to a command to drive the wheelchair: moving forward, backward, turning right, left and stop.

After a stroke some patients may have different restrictions on controlling facial muscles. Wheelie offers 7 different facial expressions to be selected, but sometimes using the head is the best way to go. Wheelie and Intel® RealSense™ can together track you head position using the pitch, the roll and yaw translating these movements into wheelchair commands.

Commands based on speech recognition are also available.

Brazilian researchers develop face-controlled wheelchair:

New Version:

Facial Expressions:

Head movements:
Voice:

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