Home /Research /Optimization of an Intelligent and Survey Robot for Inspection and Fault Diagnosis Mechanism in the Manufacturing Sector
OTHER

Optimization of an Intelligent and Survey Robot for Inspection and Fault Diagnosis Mechanism in the Manufacturing Sector

Jinnah Sheik Mohamed, Asan Banu Jinnah Sheik Mohamed, Kanagaraj Venusamy, Karthick Ramanathan. S

Year
2022
Citations
2

Abstract

Presently most of the robots do repeat works or jobs which are considered as more difficult for human beings. Also, it is very dangerous for the workers to work in the hazardous environments which can be overcome by industrial robots. Intelligent bots can sense, learn, monitor, control, and can-do high-quality work continuously without breaks. This action was done by merging the human benefits and physical systems with intelligent cyber systems. To monitor and detect the faults in the manufacturing industries a blue tooth based intelligent inspection robot is designed in this paper. The robot’s control action is developed by block designer of MIT app-inventor in the android phone along with blue-tooth connection, and the robot can be operated and controlled by phone. This smart inspection-robot has four wheels which can move and inspect the manufacturing products inside the factories. The proposed robot has camera and is connected through blue tooth. The speed and position of the robot are inserted into the processor which controls the robot smoothly and automatically. First the controller application is developed by designer and block editor of MIT app inventor. Then it is installed on the android phone. Now the Arduino UNO-microcontroller with blue tooth is entrenched with android application will communicate with the robot and finds the fault accurately by personal image classifier. The personal image classifier will detect the cracks and holes in big and small size, also detects corrosion and indicate the damages percentage in any manufactured products which is very difficult or cannot view through human naked eyes. So, the reviewer sends the workers immediately to the correct place and the damages can be repaired at low cost at right time. At last, the proposed mobile robot has been controlled and are performed and success experimentally of the coordination between the Android application and the mobile robot are demonstrated.

Keywords

Mechanism (biology)RobotComputer scienceFault (geology)Manufacturing sectorArtificial intelligenceManufacturing engineeringEngineering

Related papers

Browse all OTHER papers