First, the dorsal hand vein images were taken from the subjects via an infrared camera. The underwater rover engine can be built using many types but here we are going to discuss about Raspberry Pi controlled engine underwater rover i.e an ROV underwater rover using Raspberry Pi.Ībstract: In this paper, a Lorenz-like chaotic system was developed to encrypt the dorsal hand patterns on a microcomputer. It makes the job for divers, rescuers and gem collectors easier as the rover gives the pictures, live video and all the other relevant details necessary for having a proper knowledge about the underwater elements. There lies a great variety of its application, it can be used for getting the live video or still pictures of the underwater life and all the underwater activities to learn about the underwater life. So, a steel cable is of great necessity for a proper connection between the user at the host ship and the underwater rover as this is a remotely controlled rover. Now the working principle of an underwater rover is not similar to a remotely controlled car or drone. By using this system doctors are easily communicate with high experience and forensic people.Ībstract: An underwater remotely controlled vehicle is termed as an underwater rover as it is remotely controlled from the top of the host ship above the water surface. A prototype of such system has been successfully developed and implemented, which will offer high standard of healthcare with a major reduction in cost for our society. Also data can be transmitted to a family member’s mobile phone or doctor’s phone through GPRS. Once abnormal event happened or the request to real-time display vital signs is confirmed, all physiological signs will be immediately transmitted to remote medical server through both cellular networks and internet. The proposed system also has a friendly web-based interface for medical staff to observe immediate pulse signals for remote treatment.

The proposed system can continuously acquire four different physiological signs, for example, ECG, SpO2, temperature, and blood pressure and further relayed them to an intelligent data analysis. Therefore, this work adopts a system which includes continuous collection and evaluation of multiple vital signs, long-term healthcare, and a cellular connection to a medical center in emergency case and it transfers all acquired raw data by the internet in normal case. Recently, remote healthcare systems have received increasing attention in the last decade, explaining why intelligent systems with physiology signal monitoring for e-health care are an emerging area of development. This system will serve as communication backbone for telemedicine implementation in rural India.

This system is designed to connect to any type of network such as GPRS, LAN, Wi-Fi for telemedicine.

Abstract: The proposed system is based on Raspberry Pi Single board computer system.

Raspberry pi iot projects