Comparative Study of Object Classification Methods
Mr. Ramdas Pandurang Bagawade · International Journal for Research in Applied Science and Engineering Technology · 2018
Automated optical investigations systems are frequently utilized to find out defective objects. Defect detection on 3D objects is approached by combining the strategies of surface detection and geometry estimation. Mechanical parts defect detection is a vital issue in machinery manufacturing. Thusly, in this paper, we studied a novel mechanical parts defect detection method based on computer vision technology. The object weight estimation using the machine vision procedure and measuring the weight of live object. One of the challenges in effectively dealing with the supply and utilization of animal feed in sheep cultivating is in knowing the live weight of the sheep in the different mobs a farmer might be utilize. Here we have done study on object defect detection, weight estimation by using ANFSI model, and weight estimation of live object.