Fabrication of Faulty Product Detection and Separation System

Wireless Sensor Networks (WSNs) have become a new information collection and monitoring solution for a variety of applications. Faults occurring to sensor nodes are common due to the sensor device itself and the unfavorable environmental conditions where the sensor nodes are deployed. In order to ensure the network quality of service it is necessary for the WSN to be able to detect the faults and take necessary actions to avoid further degradation of the network or the system. This paper presents a survey of various fault models developed for the fault detection and diagnosis. We discussed various fault detection techniques mainly focused on the areas of cooling, temperature and sensor readings respectively. We also discussed the diagnosis techniques required for the recovery of the fault in the network. In this project, the wireless networking system is used in the form of sensors for the purpose to find out the variation in the dimensions of the product. These variations are calculated by using Ultrasonic Distance Sensor and the data has been calculated or diagnosis has been done by using Arduino. The infrared proximity sensor is used to detect the exact location of metal product. Also a pneumatic actuator helps for the sorting of faulty products.