THIRD EYE—Shopfloor Data Processing and Visualization Using Image Recognition

This paper describes how superimposed data using an Augmented Reality based system is appropriate in manufacturing and warehousing locations to improve operations. Access to Data is penultimate in the manufacturing industry, and giving the required data in real-time based on the component or a machine can help in increasing productivity with an added insight of using, a handheld mobile phone, thus avoiding any interaction with computers. Production and machine details give the shop floor managers the flexibility to analyze machines at the shop floor, which aids on time defect resolution and machine status. This paper focuses on object detection based data analytical application, which can differentiate between two or more similar machines using feature extraction methods and texture mapping to enhance object detection in the used game engine and also to develop the application and map those to the database of that machine, hence provide an analytical information in a hands-free manner. The effectiveness of the algorithm was tested on machines that look similar or near to identical was differentiate using our methodical image processing algorithm and the data pertaining to the machine is processed on the cloud. Improvements to process the data on the device to improve overlay efficiency and speed was experimented using various studies. Compared to various image processing software, THIRD EYE was rated 93.6% efficient in image recognition and data overlay to the user was one new feature we provide as an application to the user.