Use Case: Medical

Final Assembly
Verification of Surgery Equipment

Overview Deep Learning verifies the assembly of expensive medical equipment. Manual assembly line installing several hundred components and fasteners are prone to failure. Catching missing or incorrect assemblies saves down-the-line downtime and increases overall efficiency. It also prevents costly returns which negatively impact customer’s reputation.


Several hundred inspection points, multiple sides to capture, and poor alignment makes a traditional computer vision system not cost-competitive with human labor.

The Overview Solution

Our Deep Learning can cost-effectively inspect multiple sides and hundreds of inspection points in real time to make sure that the final assembly gets shipped out correctly every time.

How does the Deep Learning Work?

Multistep inspection


Increased line productivity, and huge decrease in returns because of better quality and visual record keeping.

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