Abstract: Provided is a handheld device and a method for detecting weld defects on a weld surface. The handheld device projects a thin beam laser light on the weld surface using a laser emitter. A processor receives the projected thin beam laser light from a laser receiving sensor, which indicates captured contours of the weld surface. The captured contours are processed to filter laser lines and extract contours. The extracted contours are utilized to classify a type of weld surface such as, surface joints, butt joints, corner joints, and tee joints. The processor, upon classifying, automatically adjusts angle and position of the laser light to be projected on the weld surface and detects deviation patterns by employing an ensemble of a laser line extraction process and a pixel width measurement process. The processor determines the detected deviation patterns as one or more defects on the weld surface that is being inspected.

Abstract: Disclosed herein are a method and a system for real time assessment of cargo handling. The method comprises: receiving a cargo plan for at least one stage of transportation of the cargo; creating at least one first sensor configuration corresponding to the at least one stage of transportation based on the cargo plan; enabling each of at least one first sensor configuration corresponding to the stage of transportation, the at least one first sensor configurations monitoring physical condition of the cargo and the at least one container; receiving dynamic data associated with the cargo and the at least one container; creating at least one context based on analysis of the dynamic data; enabling at least one second sensor configurations based on the at least one context; detecting damage to the cargo and the at least one container based on data received from the at least one second sensor configuration; recommending change in the cargo plan and repackaging of the cargo based on the damage.