Manual structural health monitoring of big structures like buildings bridges are depending on knowledge of qualified persons and specialist. It requires lot of time for manual inspection and utilizes lots of resources and man power. Acclivis has developed automatic structural health monitoring, in which using state of the art image processing and deep learning techniques, structural analysis can be done by just giving video sequence/images of structures as inputs.
The algorithm is advanced enough to recognize and measure the severity of crack and can predict consecutive future damages with respect to previous state. The solution is platform independent and can be used is any form required with few optimization and porting steps (for example: can be deployed on cloud platform).