AI
Raspberry Pi 5 AI: quality inspection without the cloud
A reversed connector, a missing accessory, a defect to catch: evaluate Raspberry Pi 5 and Sixfab AI HAT+ for visual quality inspection with local AI.
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Projects, engineering notes and architectural decisions. From the lab to real systems.
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AI
SLX SynthForge on GitHub: AI for industrial vision
SLX SynthForge brings industrial vision to GitHub: 3D boards, synthetic data and softmax classifiers, with a C++ engine, Qt interface and Python/NumPy training.
AI
Industrial machine vision: four Ethernet cameras with Microchip and NVIDIA
Microchip’s PolarFire Ethernet Sensor Bridge Rev 2.0 supports up to four MIPI CSI-2 cameras over dual 10GbE. Learn how to assess bandwidth, latency, synchronisation and NVIDIA integration for industrial inspection.
AI
AI for industrial alarms: diagnosis with SCADA and PLC data
How to connect SCADA alarms, PLC data, sensors, maintenance history, and technical documents with AI to support verifiable industrial diagnosis.
AI
Microcontrollers vs cloud: why AI is moving to the edge
Why newer MCUs, rising cloud costs and real-time requirements are pushing more IoT intelligence onto the device.
AI
TinyML on microcontrollers: from prototype to production
What changes when a TinyML demo becomes a product: data quality, quantization, memory, latency, OTA, monitoring and lifecycle.
AI
NPUs in embedded SoCs: edge AI without sending everything to the cloud
How neural processing units inside embedded SoCs change edge AI design, latency, privacy, power consumption and product architecture.
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