Online shopping is used a lot for ordering various items required in day-to-day life. It saves time, and energy of the individual. Online shopping platform provides choices, reasonable prices, discount offers, and delivery schedule to the customers. A person can order items at the click of a button from home, office, during travelling, and at any hour of the day from any place with internet connectivity. This research aims to propose a smart device that relates to a method for the secure delivery of an online purchased item. The device is a smart packing box that detects tampering with the parcel carrying the item and informs its seller and the buyer. This smart device would comprise a circuit containing Global Positioning System, sensors, Global System for Mobile Communication, and a microcontroller.

GPS based Novel Approach for Secure Delivery of Online Purchased Items

Online shopping is used a lot for ordering various items required in day-to-day life. It saves time, and energy of the individual. Online shopping platform provides choices, reasonable prices, discount offers, and delivery schedule to the customers. A person can order items at the click of a button from home, office, during travelling, and at any hour of the day from any place with internet connectivity. This research aims to propose a smart device that relates to a method for the secure delivery of an online purchased item. The device is a smart packing box that detects tampering with the parcel carrying the item and informs its seller and the buyer. This smart device would comprise a circuit containing Global Positioning System, sensors, Global System for Mobile Communication, and a microcontroller. 

With an alarming increase in obesity levels, even among children and adolescents, there is a need to take steps for increasing their motivation and overall physical activity levels. This paper proposes a way for concerned authorities in a school, to easily keep track of each student’s physical activity during school hours and give feedback accordingly. The system uses a portable pedometer that includes a MPU6050 sensor module that uses an accelerometer and gyroscope to collect movement data from each student and stores it, via Wi-Fi communication on to the Thingspeak server. The system implements a k-NN algorithm that classifies the data for each student into activities of sitting, walking, running and cycling. The results of the analysis and feedback for each student are accessible through a web portal, hosted locally on a server located in the school premises.

Dipanshu Gurwara

Papers

Actiotracker: A Smart Pedometer For Monitoring And Analyzing Physical Activities of School Children