Development Of A Mobile Robot For Night Vision Assistive System

Ng, Chin Yong (2016) Development Of A Mobile Robot For Night Vision Assistive System. Project Report. UTeM, Melaka, Malaysia . (Submitted)

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Abstract

This project proposes a night vision assistive system for a mobile robot. It can be described as a user remotely controls a mobile robot and watch the streaming night vision video via a cloud camera. This project can be applied for providing the users an alternative way to guard and protect their house. Humans have poor night vision but they make equipment to enhance their vision during low light environment. The night vision application include for many careers such as surveillance and military. The problems have been faced are flexible camera view, platform design, live streaming video connection, and poor quality of image and video compressions during low light environment. The project is aimed to control a mobile robot using night vision cloud camera in a functional user interface. The process of literature review is required to complete before the design process. The chapter of methodology consists of the research methodology. It explains that the importance of literature review of nigh vision assistive system, communication and mobile robot. The evaluation methods are categorized to mobility test, sensor test, and image processing test. There are results of motion and rotational motion test, sensor sensitivity test, rectangle detection for night vision motion test, and connection of system test in the chapter of result and discussion. The speed of motor is practically not directly proportional to the voltage applied in the motors as because the unbalanced weight has affected the initial motor speeds. Sensors are tested based on the range of effective angle and its feedback values. The rectangle detection of the night vision assistive system is evaluated based on the contrast of camera, position and distance of the obstacles. The night vision assistive system can be connected to the mobile robot and camera by using the designed components and circuits. In the conclusion, the mobile robot is completely developed and it is able to move when the author sends the command. The system is able to live stream the video and process the video with the detection info and it can be further developed in the future works by implementing the high and complex order of video processing algorithm for night vision.

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