International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 07 Issue: 02 | Feb 2020 www.irjet.net p-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 550 Smart Door System Siddhesh Raorane 1 , Abhishek Hanchate 2 , Umar Gigani 3 , Prof. Surekha Khot 4 1,2,3 Mumbai University 4 Professor Surekha Khot, Dept. of Information Technology, ACPCE, Maharashtra, India ---------------------------------------------------------------------***---------------------------------------------------------------------- Abstract - This project is about a smart door system using face recognition based on Raspberry pi. Smart door system has been launched for many years but most of them are just a CCTV, IP camera or door sensor alert system. It could be more efficient with uses of face recognition. The design of smart door system is based on human face recognition and remote monitoring technology. It will verify the person identity that goes near to the camera within certain distance. Only the people who match the identity with database and key in the correct password have the right to entry. A mobile application telegram and image processing technique LBP based have been involved in this system. Electric door lock solenoid. Also, Smart home automation system is a web-based application that allows user to monitor home appliances using mobile devices. This system established for the entire home user after gaining access from administrator. This system includes remote control home appliances, security. Once all the appliances in home are automated and connected it important to consider issue of security authentication and access control. 1. INTRODUCTION This project is for provide a precise solution with a new design with improvement embedded system to protect the household with giving higher security level and notification on time. Anyway, there are a few problems that are still exist on security product on market. The issues like the face detection only will start to function when someone press the doorbell. Surveillance system will destroy by theft and without notify owner when stranger come in. Lastly, face recognition can be by pass with owner face photo. Nowadays, the home security with only door locker is not enough to protect your house and family. However, the smart doorbell system on market still not popular for household uses because of the high price tag. Besides that, the smart home security system on market still can be improved to higher security level and build with low cost material to fulfill the need of market. Regarding to this issue, smart door system using face recognition project have been started for solve this issue. It can help to solve the issues like it can trigger the alarm and capture an image send to owner when a stranger is detected in front of door. The theft will get alert so he got no time to start breaking the door and destroy the security system. For overcome the weakness of face recognition that can be by pass with owner face image so the door will unlock. The project aims at designing an advanced home automation system using normal web server and Wi-Fi technology. The devices can be switched ON/OFF by using a Personal Mobile Phone through Wi-Fi. Considering the advantages of Wi-Fi an advanced automation system was developed to control the appliances in the house. The controlling device for the automation in the project is an ARDUINO WIFI MODULE ESP8266. The data sent from Mobile over Cellular Data/Wi-Fi will be received by Wi-Fi module connected to ARDUINO WIFI MODULE ESP8266. ARDUINO WIFI MODULE ESP8266 reads the data and decides the switching action of electrical devices connected to it through Relays. Blynk is a Platform with iOS and Android apps to control Arduino, Raspberry Pi and the likes over the Internet. It’s a digital dashboard where you can build a graphic interface for your project by simply dragging and dropping widgets. It’s really simple to set everything up. Blynk is not tied to some specific board or shield. Instead, it's supporting hardware of your choice. Whether your Arduino or Raspberry Pi is linked to the Internet over Wi-Fi, Ethernet or this new ESP8266 chip, Blynk will get you online and ready for the Internet of Your Things. 2. METHODS & MATERIALS 2.1 EXISTING SYSTEM In this system, user will enter fingerprint in the fingerprint scanner which is connected to the door latch through the microcontroller. After scanning the print, the system runs its database and looks for a match. If any match is found, the latch opens and thus, the door gets unlocked. Same thing happens when user wants to lock the door. Correct fingerprint makes the latch to close, locking the door behind the user. If wrong fingerprint is given, the system beeps the buzzer showing “Try again” in the LCD displays. If consecutive 5 or more wrong fingerprints are given, i.e. if anyone tries to break in continuously, the system enters a secured mode where it rings the alarm showing “Panic Mode” on the LCD screen. A message gets delivered to the owner notifying that there has been an attempt to break in In this system, user will enter fingerprint in the fingerprint scanner which is connected to the door latch through the microcontroller. After scanning the print, the system runs its database and looks for a match. If any match is found, the latch opens and thus, the door gets unlocked. Same thing happens when user