A progressive product is one that lessens manual labor and aids the society with increased comfort and gives a robust performance in everyday life. Such a product is appreciated by the society. Nowadays, buying necessary items at supermarkets and malls has been a daily activity in numerous cities. We observe tremendous rush at shops, especially in the vacation periods and at the weekends. This rush becomes gigantic during the period of various offers and discounts. On such occasions, customers purchase a variety of objects in the supermarkets and put them in a trolley. The very next thing they have to do is to find the specific product on the list, and a queue to pay at the billing counter. It is a tedious and timeconsuming process. To avoid this rigmarole, we are growing a system which we have named as the LI-FI Based Automated Smart Trolley. In this system, we have used the RFID tags in place of the traditional barcodes. Every product has an RFID tag. Whenever the customer places a particular product inside the trolley, it is scanned through the RFID Reader. The weight and cost of the product could be displayed on a private computer. To implement this, we are using Visible Light Communication (VLC) technology to send the corresponding statistics to the central computer. At the billing counter, a Li-Fi receiver is placed, which is able to obtain the information from the Li-Fi transmitter linked to the RF reader.

Security has always been an important criteria in regarding home security applications.This project is developed to prevent the entry of unauthorized persons into our home by using facial recognition. The project objective is to monitor and track whether the person is authorized or not. This security system detects the persons face who is at the door, recognizes whether he is authorized or not. If the person is authorized then he gets the access, else the alert message is sent to the house owner. This project is implemented using LabVIEW, Vision builder AI software and myRio. This system is more effective and reliable in terms of code complexity and is user friendly while training the authorized persons.

With propels in figuring and broadcast communications advancements, computerized pictures and video are assuming key jobs in the present data time. The significant material used in video and audio databases of observation frameworks is the Human Face. Recognizing and finding human appearances and facial highlights in a picture or picture succession are significant undertakings in unique situations, for example, recordings, where clamor conditions, enlightenment, areas of subjects and posture can differ essentially from edge to outline. A Human Face is used as a mechanized framework for a school to check the participation of their workers and understudies. Taking care of a companys representatives and their exercises using Real-Time Face Recognition utility is done Here various client faces are distinguished and perceived with the information base prepared different surface-based highlights. Project development is done using Open CV-Python.