Rover Control using Optimized Frontal Face Detection Algorithm Based on Open CV
Gowri Shankar R H
Gowri Shankar R H, Senior Software Developer,Department of ETW,Robert Bosch Engineering and Business Solutions Private Limited (RBEI), Coimbatore-641035, (Tamil Nadu), India.
Manuscript received on 02 June 2019 | Revised Manuscript received on 10 June 2019 | Manuscript published on 30 June 2019 | PP: 2876-2879 | Volume-8 Issue-8, June 2019 | Retrieval Number: F5685048619/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Real-time surveillance is a vital component in any situation or environment where there is a high need of security for both personal and commercial property and assets. Technology today is used in many different ways in order to provide us such surveillance. An ideal solution for surveillance involves not only the assortment of necessary sensors and devices using appropriate tools, but also should be provided in the most optimized way for obtaining feed and data while keeping the expenditure minimized. In our project, we aimed at developing a low-cost, real-time land mining mini rover which will be capable of providing real-time face detection using OpenCV and roam around in the area which we want to observe. Our target was to use hardware which is very low of cost and easily available. Since the time of industrial revolution, there’s an ever-growing call for the growth within the power and assets. There are several techniques and methods to extract resources from earth, one such approach is mining. There had been a variety of incidents when you consider that the appearance of mining. Explosions, temperature variations, suffocation due to inhalation of dangerous gases have taken the lives of many. Henceforth, the safety of mine employees ought to be the primary precedence. There are several precautions taken such the use of personal safety gadget consisting of helmets, protection goggles, torches and many others. Mines are required to have adequate lighting and ventilation structures, however in most mines, use of such systems are not possible. But those precautions do now not ensure the complete protection of the employees. Working in an unexplored, unpredictable surroundings in spite of many precautions is fraught with risks. An approach for measuring temperature and detecting dangerous gases at those websites via the use of an unmanned rover is proposed. The facts is continuously transmitted to the base station computer the use of the ZigBee transmitter. Using the records received, the mine is mapped, and the mine situations are constantly monitored.IOT is used here to monitor the current temperature status of the rover which is deep inside the mine. By using a wifi module named ESP8266 12E the IOT connection is established to the rover and cloud. The temperature is calculated and uploaded in the cloud.
Keyword: OpenCV, IOT Frontal face algorithm, Mining.
Scope of the Article: On-Line and Streaming Algorithms.