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  image credit researchgate IoT Data Sources for Industrial and Smart Applications IoT devices generate real-time data from various sensors. Below are some key IoT data sources and example use cases , focusing on an Arduino-based warehouse monitoring system with temperature and humidity sensors. 1. IoT Data Sources 1.1. Industrial and Smart Warehouse Sensors Temperature & Humidity Sensors (e.g., DHT11, DHT22, BME280) – Monitor warehouse climate. CO2 and Air Quality Sensors (e.g., MQ135) – Ensure air quality for workers and storage conditions. Light Sensors (LDR) – Adjust warehouse lighting automatically. Vibration Sensors – Detect abnormal equipment movements or seismic activity. RFID & Barcode Scanners – Track inventory movement. Weight Sensors (Load Cells) – Monitor stock levels in real-time. Motion Sensors (PIR) – Detect unauthorized movement in restricted areas. 2. IoT Warehouse Setup with Arduino & DHT11 (Temperature & Humidity) Components Requ...

  What Are Industrial GPU Computers, and What Are They Used For? The rapid convergence of AI and automation technologies is driving the need for high-speed, large-scale data processing at the edge. Edge devices, which were once simple data collectors, now leverage AI models and machine learning algorithms to perform complex analysis directly on the data they gather. This shift demands significantly higher processing power, which traditional CPUs alone cannot provide. Industrial GPU computers bridge this gap by combining the strengths of CPUs and GPUs, delivering the performance needed for tasks like real-time image processing, data analysis, and machine learning inference. Originally deployed in data centres, these systems are increasingly being adopted at the edge, making them a cornerstone of the Edge AI era. This article explores the advantages, core features, and applications of industrial GPU computers, along with real-world use cases to illustrate their transformative potenti...