Identification of Altered Levels of Consciousness and Countermeasures for Vehicular Safety

Abstract

Consciousness is the key to performing any activity with precision and accuracy. Driving is a challenging activity that involves both the muscle memory and conscious decisions. Consciousness can be altered to various levels due to numerous psychological and physiological factors. Many of the road accidents occur due to this altered (or) impaired state of driver's consciousness such as through drowsiness, alcohol consumption, medical conditions (illness), etc. This project aims to identify the impaired consciousness using a 5MP camera and provide effective countermeasures by inducing alarm systems to ensure safety of both the subject and other vehicles on road. The camera placed above the steering, scans and records the image of the driver's eyes, head and face movement. Algorithms are used to extract features from the images captured and signs of tiredness and sleepiness of the driver is detected. Using Raspberry Pi 3, an LED display and alarm system is invoked so as to alert the subject and nearby personnel once the sleepiness/tiredness of the subject is identified. An approximate of 1.5 lakhs accidents occurs every year in India out of which 70% is known for drunken driving or sleepiness. Therefore this project aims to reduce the accidents rate due to impaired consciousness and to consider the shortcomings of existing methods and improvise on it.

Removal of aqueous solution of Methylene blue dye using “Clitoria ternatea": A Novel Adsorbent

“…The adsorption of dye obeys Freundlich adsorption isotherm (K f = 12.11). The K f value which is a measure of the amount of dye absorbed per unit weight of adsorbent, indicates favorable adsorption process 22 . The 'n' is the adsorption intensity (1/n = 0.81) found in the range of 1<1/n<10.…”