Link to Video Demo: Click here
- Anti-car-Theft-Camera-System
- Phat Le
- Archie Macabeo
- Thien Hoang
- Katt Owens
- Professor Advisor : Wo-tak Wu
An Embedded System that can detect glass breaking sound which trigger camera recording and send notification alert.
This project was inspired by my living situation inside of a fenced community. Inside is relatively safe, but due to crowding, many are forced to park on the street outside the fence. With some regularity, car burglars will break into these cars at night and steal items. Thus this project’s goal and ultimate requirement is to either catch them in the act and lead to their arrests or, more optimally, dissuade them from stealing. It would provide more security and peace of mind to the residents and perhaps increase property values.
- Raspian Linux
- WiringPi
- PWM
- I2C
- Raspivid
- Threads/Child fork
- Mutex/Conditional variable
- Raspberry Pi 3B+ - RaspberryPi Website
- Microphone KY-037 - Datasheet
- Servo Motor SG90 - Datasheet
- Analog-Digital Converter ADS1115 - Datasheet
- Pi Camera Rev 1.3 - Camera Module Spec
The initial budget plan for the project was less than or equal to $150. Since some components can only be purchased in bulk or have been damaged during the project development period, the project might have been over spent for extra parts. However, the current spending still fall below our budget.
| Model | Quantity | Price(USD) |
|---|---|---|
| Rasberry Pi 3B+ | 1 | 39.99$ |
| ADC ADS1115 | 3 | 11.99$ |
| Microphone KY-037 | 3 | 13.99$ |
| Pi Camera Rev 1.3 | 1 | 12.99$ |
| Servo Motor SG90 | 4 | 8.99$ |
| Case and Jumper Wires | 1 | 7.49$ |
| Soldering Tool | 1 | 10.99$ |
| Total | 106.43$ |
The following required functionality is complete:
- Control servo motors to the desinated position
- Record video and save to local folder with Date naming
- Sampling analog signal from sound sensor
- Use ADC to convert analog from sensor to gpio digital signal
- Implement I2C to communicate with ADC
- Sampling from three separate microphone in parallel
- Run from different thread
- Each thread communicate from different I2C bus
- Use semaphore to manage the share thread resources
- Move camera to the position where the event occur
The following future improvement features are implemented:
- Detect glass-breaking sound
- Using bandpass filter
- Using Machine learning
- Send alert through email
- Location of the event
- Compress and attach video
The following additional features are implemented:
-
Put everything in a case
-
Machine Learning Motion tracking after breaking is detected
- Unit Implementation
- Integrate with the system
Since the Raspberry Pi GPIO is not capable of receiving analog signal. The microphone sensors will have to go through Analog-to-digital Converter(ADS1115) modules which is then communicate with the Raspberry Pi using separate I2C buses to improve throughput.
The initial camera system system is divided into 5 different states as shown in Figure below. Specifically, the system will not begin its detection and stay in IDLE mode if a START signal is not asserted. If START asserted, the sound sampling and detecion begin in SOUND DETECTION mode. The device will continue on this mode until the glass breaking sound is detected that will send a FOUND signal to move to the next state. The camera is moved by a servo motor in MOVE SERVO mode, then, record a video in the VIDEO RECORDING mode.
The Figure below illustrate the design flow of the main.c program. The program will first create 3 threads of sound sampling since it need to actively sampling and analysing the sound in parallel from 3 angles. When the first thread detect the event, the program will decide that is the angle the servo need to move to and start recording the video. Then, it go back to thread creating and sampling state.
For the sound detection which is running from 3 different threads, each thread will share a Found variable which is protected by POSIX Semaphore. If a thread found the event, it will update the global variable position pos, and end all threads by aserting the Found variable.
Before starting the program, we need to download necessary Libraries and Packages using the command lines as follow:
sudo apt-get install msmtp msmtp-mta
sudo apt-get install wiringpi
*Note that the Raspian Pi is currently updated and I2c and Camera feature is enable in the setting
The first step to run the program is to configure the Linux system files. Since the GPIO only have one I2C bus. We can add extra content of the file under the directory root/config.txt as follow:
dtoverlay=i2c-gpio,bus=4,i2c_gpio_delay_us=1,i2c_gpio_sda=23,i2c_gpio_scl=24
dtoverlay=i2c-gpio,bus=3,i2c_gpio_delay_us=1,i2c_gpio_sda=17,i2c_gpio_scl=27
Then, we need to set up a local SMTP server to communicate with Gmail service by editing the file under the path /etc/msmtprc as follow:
defaults
auth on
tls on
tls_trust_file /etc/ssl/certs/ca-certificates.crt
logfile ~/.msmtp.log
account gmail
host smtp.gmail.com
port 587
from rasppi24@gmail.com
user rasppi24@gmail.com
password EmailPassword
account default: gmail
*Note that we need to use an actual email account and password.
To select the directory where the evident video is stored, we can change the path inside the main function at main.c as follow:
char directory[1000] = "/home/pi/Desktop/HelloWorld/videoFolder/"; //set directory where video is saved
After all of the above steps are done, we can go ahead and build the main file program using the below command:
sudo gcc -o microphone main.c camera.c email.c microphone.c servo.c -lwiringPi -lpthread -lrt
sudo ./microphone
- Wiring Pi - WiringPi
- Controlling the Raspberry Pi camera from C - Ceptimus
- RPi and I2C Analog-Digital Converter - University of Cambridge OpebLabTools
- Consumer Industrial: Acoustic Glass Break Detector - Vadym, G. (2019, Dec 12)
- Arduino Tutorial: simple High-pass, Band-pass and Band-stop Filtering - Aasvik, M (2016, Mar 10)
MIT License
Copyright (c) 2021 Phat Le
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
- Github - PhatLe15
- Linkedin - phat-tan-le
- Email - phat.le@sjsu.edu