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0.0 years

0 Lacs

gurgaon, haryana, india

On-site

The internship is a hands-on build project, not a desk job. The intern will own the lifecycle of the machine vision system. Selected Intern's Day-to-day Responsibilities Include Phase 1: Hardware Setup & Integration: Selecting and bench-testing the camera (Global Shutter) and lighting hardware. Setting up the compute unit (Jetson/Pi) with the necessary Linux drivers and libraries. Phase 2: Data Engineering: Running the machine to capture Real World datasets Annotating/Labelling the data to teach the AI what a Defect looks like. Phase 3: Development & Logic: Training the AI model to achieve high accuracy (>99%) and low latency ( Writing the Python control script: If Defect is detected ? Trigg...

Posted 1 day ago

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