Abstract: Home intrusion plays a role and requires a system to notify and activate homeowners to be alert and protect their home assets in time. HIVE is proposed for home intrusion detection and devised in three parts. First, sensor manager is composed of sensor manager acting as ZigBee coordinator communicating with ZigBee sensors and actuators. Three different sensor types are passive infrared for detecting motion, magnetic switch for opening/closing of door detection, and load cell for the weight gauge from pressing steps on the floor. Two actuators, composing of piezo alarm and LED, are activated by sensor manager. Second, Firebase is developed as cloud database and user authentication service. Third, an android application is deployed for end-user for monitoring, configuring, and being notified remotely. As a result, sensor and actuator modules can join the ZigBee network automatically. Sensor Manager sends updated sensors' and actuators' data to Firebase, consequently, home users can be notified intrusion events via the android application, and remotely configure events, sensors, and actuators anywhere anytime via the Internet. Therefore, this system can enhance security and safety for home assets.
Abstract: Internet of Things (IoT) devices are predicated to reach 50 billion by 2022. Therefore, the IoT device data is too large to be managed efficiently by the existing platforms. Because of huge data centralized on the IoT platform, the privacy issues are on the rise due to some sensitive data that able to expose secretly and indirect way. So, we propose the role-based IoT service environment that is decentralized manner architecture. Moreover, we show the evaluation and implementation results according to the example scenario.
Abstract: As the name suggests we are developing an Automatic garbage collection and information gathering system which is based on Image processing as well as on GSM module. The main concept is that a Camera will be placed at every garbage collection point along with load cell sensor at bottom of the garbage can. The camera will take continuous snapshots of the garbage can. A threshold level is set which compares the output of camera and load sensor .The comparison is done with help of microcontroller. After analysing theimage we get an idea about level of garbage in the can and from the load cell sensor we get to know weight of garbage. Accordingly information is processed that is controller checks if the threshold level is exceeded or not. The controller sends a message with the help of GSM module to Garbage collection local central office to notify that garbage can is exceeded its capacity and disposal of waste is required. Accordingly the authority sends the garbage can collecting vehicle to collect the garbage, which is done with the help of robot mechanism.
IEEE 2016: Centralized Web Application Supporting Vehicle Toll Payment System