IoT prototypes
ESP32 and Raspberry Pi IoT prototype sprint
How to scope a practical IoT prototype: sensors, firmware, connectivity, dashboard, alerts, wiring notes, BOM, and prototype-to-pilot risks.
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Plain-English notes for teams exploring ESP32 and Raspberry Pi prototypes, sensor dashboards, legacy equipment data bridges, OTA telemetry, camera inspection, robotics, Jetson-class edge AI, and practical automation with humans still in the loop.
IoT prototypes
How to scope a practical IoT prototype: sensors, firmware, connectivity, dashboard, alerts, wiring notes, BOM, and prototype-to-pilot risks.
Read noteSensor dashboards
Practical sensor dashboards for environmental monitoring, machine status, leaks, vibration, power, facilities, greenhouses, workshops, and storage rooms.
Read noteHardware-to-cloud
How old equipment can send useful data to dashboards, APIs, databases, and remote diagnostics without replacing the whole machine.
Read noteField reliability
Why deployed prototypes need heartbeat, logs, firmware version tracking, remote diagnostics, update paths, and clear release discipline.
Read noteHorticulture ML
How TensorFlow object detection, OpenCV preprocessing, AWS S3, Python, and edge devices can monitor crops, classify plant state, and support greenhouse automation.
Read noteSports video AI
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
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
A practical view of camera-based QC for missing screws, clips, sockets, labels, wrong parts, surface flaws, and final assembly checks.
Read noteTraceability
How production lines can read and verify labels, serial numbers, barcodes, QR codes, printed characters, and traceability data.
Read noteVideo intelligence
How video can become structured events: object detection, tracking, counting, classification, alerts, and operator review.
Read noteRobotics
Using cameras for robot guidance, part position, dimensional checks, alignment, distance, angle, diameter, and conveyor or PLC handoff.
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