Laser based non-invasive glucose monitoring system with automatic insulin injector.

K.Thaslima Nasreen, M.Ruba, J.Preethi,M.Supraja, K.S.Swetha, R.Varsha

With the hasty advancement of mobile internet, IoT and wearable devices, the health audit has shown an intelligent movement in modern years. The Internet of Things (IoT) has been universally used to associate the feasible medicinal assets and offer smart, reliable, and effective healthcare service to the pensioner. To implement a Non-invasive level of blood sugar used of anoptical beam. Our system is used for patient calculation of blood sugar content.Plasma cutter lamp based detectorsalsodemonstrated greater ability for blood glucose control and automated insulin intake. Health monitoring for effect and aid existing is one of the criteria that can use the IoT advantages to develop the elderly style of living.The technique of blood glucose testing invasive since they require a fingerprint sample of blood , an endlessly awful production initiates risk of contagion. This scheme was based on Raspberry pi energized with a power bank, using a visible laser beam , photo detector, and with a driver relay to implement insulin or glycogen. It is fundamental to avoid an issue emerging because of anomalous glycaemia stages in the diabetic victim.Laser lightbased instruments have shown greatercapacity for BGM An Alive nearinfrared (NIR)based BGM s olution has frailties, such as radiation intake of stem cells, surpassing signal-to-noise ratio, and lower veracity and these disadvantages have blocked NIR techniques from being engaged for commercial BGM applications.An elementary, composed, and cost- non- system that uses detectable red wavelengt-h laser light of 650 nm for BGM (RL-BGM) as laid out in this article. The control system RL-BGM has three major organizational priorities for NIR .Not like NIR at all, beam sources have 30 times fitter transference by way of human flesh. In, addition, when testing with NIR, the laser source refractivity is more perceptive to the glucose level concentration modification resulting in faster response times of 7-10 s. Red laser light also displays optimum period as well as validity for BGM.This paper exhibits some present research and development in the field of wellbeing. Different established systems have been distinguished and checked-out to identify the concerned flawed areas and what can be done to provide better throughput than the current scenario systems.

Volume 12 | Issue 6

Pages: 672-679

DOI: 10.5373/JARDCS/V12I6/S20201079