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AI Case Study

Click-Ins to detect and automatically assess car damage with the introduction of a visual recognition and matching tool

Click-Ins has launched an automobile damage assessment platform to capture and compare images of car damage to check for fraud and cost estimates.


Financial Services


Project Overview

"The Car Damage Matching and Assessment product detects insurance fraud by matching mobile and digital camera pictures of the damages using photogrammetry, computer vision and remote sensing as well as provides assessment of estimated repair cost. By processing new and historical damage pictures we generate unique signature (fingerprint style) and match it to the database to detect multiple use of the same damaged parts as well as exaggerated claims."

Reported Results

Undisclosed; unclear what stage the product launch is at


"The product is cloud-based and it also can be deployed on-premise and fully automated by using a combination of proprietary photogrammetry algorithms, Computer Vision analysis and Deep Learning."



Field Services


"Click-Ins believes that insurers struggle to catch fraudulent activity through their existing legacy systems because these systems are usually policy-centric and separated from each other. Click-Ins contends that applying these techniques to an existing set of data with emphasis on unstructured data, the DNA of Insurance Company, can help carriers unlock insights contained within. Our global vision is reduction of loss ratio by combating insurance fraud at both point of sale and point of claim by using comprehensive approach."



Mobile and digital camera photos

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