IOT Drop off and Pick up Parcel Box

Nowadays, many different kinds of delivery companies transport their own kinds of parcels and offer their own services, which have caused a lot waste of resources. In addition, the volume of parcels in all cities that need to be delivered has been grown dramatically. To cope with these problems, a uniform parcel delivery system in a smart city which can offer service to all kinds of customers in the city including manufactures, department stores, restaurants, individual people and so forth was designed. This system uses IoT (Internet of Things) and RFID technology, combining computer network technology, wireless communication using Blynk App and cloud computing. With this system, the whole package delivery process including classification of packages, vehicle scheduling, path planning, transportation monitoring can be intellectualized as well as managed automatically, and the use of both material resources and manpower resources can be reduced accordingly

Several interesting monitoring applications concern people entering a prescribed area, where they deposit an object in their possession, or collect an object deposited earlier. One example arises in the use of bicycle racks. We propose a novel method for associating each person who deposits an object with the person who later collects it. Our main contribution is to deal with ambiguity in the visual data through the use of global constraints on what is possible. The method is evaluated on a set of practical experiments in a bicycle rack, and applied to online theft detection by comparing the colour profile of associated individuals.

Keywords: IoT (Internet of Things), wireless communication, Blynk App.