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Anil Babu Bollina
Senior Computer Vision Engineer specializing in industrial automation and 2D/3D perception
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Machine-vision engineer who designed an end-to-end inline inspection station for white wood pallets, combining laser line profilers with 2D color line-scan imaging to detect protruding nails (~2mm threshold) at conveyor speeds. Solved real production constraints (lighting reflections, per-trigger depth/color alignment, barcode tracking) and improved system accuracy from ~80% to 99.5% using barcode symbology changes and Keyence reader AI features.
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Key Strengths
- Designed and deployed inline pallet inspection system using laser profiling + color line-scan for depth/color fusion
- Resolved lighting/reflection tradeoffs while preserving true color for ML-based feature detection
- Robust per-trigger alignment of depth and color using nail keypoints + RANSAC transformation fitting
- Improved barcode read/inspection accuracy from ~80% to 99.5% by changing symbology and leveraging Keyence AI
- Strong production vision fundamentals: pixels-on-target, scan rate/exposure constraints, and motion-blur budgeting
- Built multithreaded camera acquisition pipeline with hardware triggers and dropped-frame monitoring for high-speed conveyors
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