Horticulture ML
Horticulture ML: greenhouse AI vision automation
How TensorFlow object detection, OpenCV preprocessing, AWS S3, Python, and edge devices can monitor crops, classify plant state, and support greenhouse automation.
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Industrial AI, machine vision, and embedded automation notes.
Plain-English notes for teams exploring camera inspection, visual quality control, OCR/OCV, barcode reading, video tracking, robotics, microcontrollers, Jetson-class edge AI, and practical automation with humans still in the loop.
Sports video AI
Automatic scoreboard follower with Jetson Nano and AWS Media Live
A practical architecture for school sports video: camera ingest, GStreamer, Jetson Nano, OpenCV, ML models, AWS Media Live, score detection, and event-aware overlays.
Read noteMachine vision
Industrial machine vision inspection with AI and embedded systems
How camera inspection systems combine lighting, lenses, OpenCV, edge AI, Jetson-class devices, PLC signals, and human review for practical quality control.
Read noteVisual QC
Camera quality control for missing parts and assembly errors
A practical view of camera-based QC for missing screws, clips, sockets, labels, wrong parts, surface flaws, and final assembly checks.
Read noteTraceability
OCR, OCV, barcode, and QR reading on production lines
How production lines can read and verify labels, serial numbers, barcodes, QR codes, printed characters, and traceability data.
Read noteVideo intelligence
Object recognition, video tracking, counting, and classification
How video can become structured events: object detection, tracking, counting, classification, alerts, and operator review.
Read noteRobotics
Robotic guidance and camera measurement automation
Using cameras for robot guidance, part position, dimensional checks, alignment, distance, angle, diameter, and conveyor or PLC handoff.
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