The increasing traffic volume creates a greatest challenge in today's traffic research. It is important to know the road traffic density for effective traffic management and Intelligent Transportation System (ITS). Traditional method of detecting vehicles from video is image subtraction which is not effective as it is susceptible to changing levels of brightness. And hence the proposed algorithm detects vehicles from an image in a more precise manner. The proposed work uses image processing that involves the techniques such as image acquisition, image enhancement, and Image segmentation to retrieve image from the source and enhance the contrast and brightness of the image for successful surveillance on transportation system.

RedTacton is a Human Area Networking (HAN) device that uses the surface of the human body to transmit data faster. It utilizes the tiny electric field that is emitted on the surface of the human body setting it apart completely from wireless and infrared technologies. When a human body comes into contact with a RedTacton transceiver, a transmission path is generated. It is possible to communicate using any part of the body, including the face, legs, arms, feet, hands, and fingers. The RedTacton chip has a transmitter and a receiver for accepting and sending digital data. This paper discusses RedTacton's working principles, and features. This paper describes a healthcare monitoring system that monitors patients' body temperatures, blood pressure, heart rates, and glucose levels without the use of wires, Bluetooth, Local Area Network, Radio Frequency (RF), or other external equipment. Consequently, the capital and investment cost is reduced.