Raspberry pi ppt

RASPBERRY PI ZERO W BASED SMART SURVEILLANCE SYSTEM WORKING ON MOTION EYE OPERATING SYSTEM PAPER ID:-59

2 TEAM MEMBERS OF GIET UNIVERSITY

In this era of Automation and also due to the approach of industrial revolution 4.0 there is an advancement in all of the fields and mostly in the electronics and sensors application. And also there is a demand of the industrial surveillance and as well as safety and most of the Industries are using conventional based surveillance system for recording of the footage, and it is not very cost-effective so in this research work, it describes the surveillance based on raspberry pi zero w that is capable of sending the live footage directly to the webserver so that it can be viewed directly or it can be stored in a specified location for further usage. This research generally comprises of raspberry used as a brain accompanied by a camera module that is used for monitoring the environment. This can be used in various industrial or non- industrial as well as domestic applications. 4

 Any place including industry home etc. there is a threat of burglary action so one of the major applications of the surveillance system is to catch all those incidents so that they can be rectified in a short duration of time.  So one of the most effective ways of doing this is done using some of the surveillance devices such as CCTV camera systems that are being used for monitoring a workplace using wired methods such as optical cables but cannot be monitored if the person wants to monitor through a certain distance where cabling is not there so using raspberry pi (computer in the size of credit card) a special monitoring system can be designed that is connected to a particular network through which it can be monitored anywhere if internet connection is provided.  In this research work, it is designed a simple raspberry pi surveillance system that is carried out by zero w in which the software resource that is used is motion eye operating system in which it is capable of creating a server in which the video can be directly monitored live or it can be recorded also.  This type of system is very useful and cost-effective as compared to other modes and uses some advanced features that help in surveillance more effectively. 6

➢ Circuit designing using TINKER CAD. ➢ Flashing Operating System. ➢ Operating system downloads. i. Raspbian / Raspberry Pi OS ii. Motion Eye 8

The list provided below is the list of components that are being used in the completion of the project and used in building the physical prototype model. 10 S.NO COMPONENT NAME QUANTITY COST 1. Raspberry pi zero W 1 1500 2. Camera Module 1 350 3. Case 1 Set 200 4. Power Supply 1 250 5. 16GB SD Card 1 350 6. TOTAL --------------- 3000

RASPBERRY PI ZERO W  The credit-card-sized computer has become even smaller. The raspberry pi zero w remains an equivalent pi you recognize but at a mostly compact size of only 65 mm long and 30 mm wide which has a very reasonable cost. With the buildup of wireless LAN and Bluetooth, the Raspberry Pi Zero W is right for creating embedded Internet of Things projects. The Pi Zero W is designed to be as flexible and smallest as possible with mini connectors and an unpopulated 40- pin GPIO which allow you to use only what your project requires.  At the heart of the Raspberry Pi Zero W is a 1 GHz BCM2835 single-core processor with 512 MB RAM. Quite bluntly, this pi is about 4 times faster than the original Raspberry Pi and it is only a fraction of the price of the current RPi3 11

CAMERA MODULE The Pi camera module may be a portable lightweight camera that supports Raspberry Pi. It communicates with Pi using the MIPI camera serial interface protocol. It is normally used in image processing, machine learning, or surveillance projects. It is commonly utilized in surveillance drones since the payload of the camera is extremely less. Apart from these modules, Pi also can use normal USB webcams that are used alongside the PC. 12

POWER SUPPLY The power supply is what takes the micro USB port voltage and creates the 5V USB, 3.3V, 2.5V and 1.8V core voltages. The 3.3/2.5/1.8 are for the processor and Ethernet. 13

SD CARD A Secure Digital (SD) card is a tiny flash memory card designed for high- capacity memory and various portable devices, such as car navigation systems, cellular phones, e-books, PDAs, smartphones, digital cameras, music players, digital video camcorders and personal computers 14

BALENA ETCHER BalenaEtcher (commonly referred to and formerly known as Etcher) is a free and open- source utility used for writing image files such as .iso and .img files, as well as zipped folders onto storage media to create live SD cards and USB flash drives. It is developed by balena and licensed under Apache License 2.0. Etcher was developed using the Electron framework and supports Windows, macOS and Linux. balenaEtcher was originally called Etcher, but its name was changed on October 29, 2018, when Resin.io changed its name to Balena. 16

MOTION EYE OS Motion is a highly configurable program that monitors video signals from many types of cameras. Set it up to monitor your security cameras, watch birds, check in on your pet, and create time-lapse videos, and more.  Create videos or save pictures of the activity.  Pass-through recording from many IP cameras  View the live stream of cameras  Invoke scripts when activities occur  Log activity into multiple types of databases  Fully customizable masks for privacy or motion detection Use Motion with many types of devices  Network cameras via RTSP, RTMP, and HTTP  PI cameras  V4L2 webcams  Video capture cards  Existing movie files 17

ALGORITHM FOR FLASHING SOFTWARE INTO SD CARD  Step 1: Download the software motion eye and store it in a specified folder.  Step 2: Download the software BALENA etcher and store it in a specified folder and install it.  Step 3: Using Etcher flash the Operating System into the SD card.  Step 4: Make the Circuit connection as shown in the figure.  Step 5: Before Powering the Raspberry pi insert the SD card.  Step 6: Power on the raspberry pi using a specified Power Adapter.  Step7: Connect to a specified network preferably WIFI Network.  Step 8: Ready for Use. 19

IMAGES OF WORKING PROTOTYPE MODEL 20 The figure shown is the desired working prototype model that is being prepared during the work.

These types of models are very useful in surveillance systems are very cheaper as compared to the conventional methods and can be used in various workplaces for surveillance and safety purposes. 22

The author would like to thank all the members who are involved in the completion of the research work in a prescribed period of time. The enthusiasm and the dedication to work towards this kept the work on track. SOURCES:-  https://www.wikipedia.org/  https://github.com/  https://www.sparkfun.com/ 24

 Rohadi, E., Suwignjo, S. A., Pradana, M. C., Setiawan, A., Siradjuddin, I., Ronilaya, F., ... &Ariyanto, R. (2018, October). Internet of Things: CCTV Monitoring by Using Raspberry Pi. In 2018 International Conference on Applied Science and Technology (iCAST) (pp. 454-457). IEEE.  Tiamiyu, O. A. (2019). COST-EFFECTIVE RASPBERRY PI BASED SURVEILLANCE SYSTEM USING INNOVATIVE TECHNOLOGY. LAUTECH Journal of Engineering and Technology, 13(2), 1-18.  Kadir, E. A., Siswanto, A., &Yulian, A. (2018). Home Monitoring System Based on Cloud Computing Technology and Object Sensor. In Proceedings of the Second International Conference on the Future of ASEAN (ICoFA) 2017–Volume 2 (pp. 963-972). Springer, Singapore.  Patel, S. N., & Prakash, V. (2015, March). Autonomous camera-based eye-controlled wheelchair system using raspberry-pi. In 2015 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS) (pp. 1-6). IEEE.  Edozie, E., Janat, W., Kalyankolo, Z., Adabara, I., &Ukagwu, K. J. (2020). Design and Analysis of a Lab IP Spy Camera and Alarm System using Raspberry Pi and ATMEGA328P. System, 4(5), 16-20.  Lasrado, S., Ghodinde, A., David, S., &Nivelkar, M. (2021). Surveillance using Digital Signage.  Nasir, D. (2020). Raspberry Pi and IP Camera  Dongare, H., & Shah, S. (2016). Eye gaze tracking and eyes off the road detection for traffic safety on raspberry pi. Eye, 4(6).  Nath, O. REVIEW ON RASPBERRY Pi 3b+ AND ITS SCOPE.  Madhuravani, B., Reddy, P. B., &Rashmika, M. (2017). Motion sensor and face recognition-based surveillance system Using Raspberry Pi. International Journal of Advanced Research in Computer Science, 8(5). 26

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