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Case Study 3: Facility Occupancy Detection – Edge ML at Scale

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Challenge A smart building operator required occupancy detection across 200+ rooms to optimize HVAC systems. The solution needed to ensure complete privacy (no camera-based face data storage) while delivering accurate, real-time occupancy insights. Solution Sensor Fusion: Combined thermal sensors with motion detectors to eliminate the need for cameras. Lightweight AI Model: Small LSTM model (8KB, […]

EDGE AI & MACHINE LEARNING / COMPUTER VISION

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Case Study 2: Wearable ECG Anomaly Detection – Privacy-First Healthcare

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Challenge A remote patient monitoring wearable required real-time arrhythmia detection directly on the device, without uploading sensitive ECG data to the cloud. The system needed to ensure high accuracy, ultra-low power consumption, and complete data privacy. Solution On-Device AI Model: TFLite Micro model trained on PhysioNet ECG dataset and synthetic variants. Lightweight Optimization: Model compressed

EDGE AI & MACHINE LEARNING / COMPUTER VISION, ,

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Case Study 1: High-Speed Defect Detection in Automotive Manufacturing

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Challenge A Tier-1 automotive supplier was producing machined metal parts at a rate of 2 parts per second. Their cloud-based vision system introduced 500ms+ latency, forcing production slowdowns. Additionally, missed micro-defects (less than 0.5mm scratches) were leading to costly warranty claims. Solution Edge Vision Hardware: Industrial global shutter camera integrated with an NVIDIA Jetson-based edge

EDGE AI & MACHINE LEARNING / COMPUTER VISION, ,

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Case Study 3: Remote Patient Monitoring – 10K Wearables

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Challenge A healthcare provider needed to monitor over 10,000 chronic patients using wearable devices. The system required real-time collection of vitals and activity data, seamless integration with existing EHR systems, and actionable insights for clinicians to improve patient outcomes. Solution BLE Wearables: Firmware-enabled devices with edge ML for anomaly detection. Secure Cloud Platform: HIPAA-compliant infrastructure

IOT ARCHITECTURE & PLATFORM DEVELOPMENT

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Case Study 2: Agricultural IoT – Soil Monitoring Across 10,000+ Fields

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Agricultural IoT Case Study Soil Moisture Monitoring Across 10,000+ Fields Category: Smart Agriculture   |   Reading Time: 3 mins Challenge An agricultural cooperative needed soil moisture monitoring across 10,000+ fields spanning three states. The solution required low-cost sensors, long battery life (3+ years), and actionable insights to improve irrigation efficiency. Solution LoRaWAN Network: 50+

IOT ARCHITECTURE & PLATFORM DEVELOPMENT, ,

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Case Study 1: Smart Building Energy Management – 500+ Sites

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Commercial Energy Intelligence Platform 500+ Buildings • Real-Time Monitoring • Automated Control ⚠️ Challenge Managing energy across 500+ commercial buildings was fragmented and inefficient. Legacy systems required manual on-site setup and offered no real-time visibility. Disconnected legacy infrastructure No centralized control Manual deployment per building No energy optimization insights ⚡ Solution Edge Gateway: Autonomous local

IOT ARCHITECTURE & PLATFORM DEVELOPMENT, , ,

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Case Study 3: Consumer Smart Home Hub – Multi-Protocol Coordination

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Smart Home Hub Firmware Multi-Protocol • Real-Time • 200+ Devices Building a reliable smart home ecosystem requires seamless coordination between multiple wireless protocols, real-time responsiveness, and resilience during cloud outages. ⚠️ Challenge A smart home hub needed to manage Wi-Fi, BLE, and Zigbee/Thread simultaneously while supporting 200+ connected devices. Key Constraints Multi-protocol coordination without interference

EMBEDDED SYSTEMS & FIRMWARE ENGINEERING, ,

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Case Study 2: Industrial Predictive Maintenance Gateway – Edge AI at Scale

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Edge-Based Anomaly Detection for Industrial Equipment Challenge A manufacturing equipment company required an edge-based anomaly detection system capable of handling 50+ sensor streams, performing TinyML inference in real-time, and scaling across thousands of installations without relying on cloud latency. Solution Real-time FreeRTOS task scheduler managing concurrent sensor acquisition, AI inference, and communication Optimized TinyML pipeline

EMBEDDED SYSTEMS & FIRMWARE ENGINEERING

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Case Study 1: Remote Patient Monitoring Wearable – FDA-Cleared Product

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Ultra-Low Power Wearable ECG/PPG Monitor Firmware Challenge A healthcare startup required an ultra-low power wearable ECG/PPG monitoring device that meets FDA Class II compliance, delivers medical-grade accuracy, and supports BLE connectivity with secure cloud integration — all while maintaining <2mA average power consumption. Solution Bare-metal firmware optimized for extreme low power using event-driven architecture and

EMBEDDED SYSTEMS & FIRMWARE ENGINEERING

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