25 Embedded Systems Projects We Build in Bangalore
Aislyn Technologies designs and develops end-to-end embedded systems and IoT projects — from circuit design to cloud dashboards — for students, startups, and industry. Below are 25 embedded systems projects we've engineered using Arduino, ESP32, sensors, machine learning, and real-time dashboards.
Automatic Power Factor Correction (APFC) System — Arduino Uno + ZMPT101B + ACS712 with relay-switched capacitor banks for real-time power factor correction.
Smart Shoe for Visually Impaired — HC-SR04, IR sensors, MPU6050 with buzzer/vibration/LED obstacle alerts.
EV Battery Cooling System — ESP32 + Flask IoT thermal monitoring and active cooling for LiFePO4 battery packs.
Piezoelectric Energy Harvesting Inverter — Piezo-based energy harvesting with Arduino SPWM full-bridge inverter (24V to 230V AC).
IoT Women Safety Monitoring System — ESP32 wearable with live location tracking and instant alert dashboard.
Smart Water Quality Monitoring System — ESP32 sensors with Random Forest classification and real-time web dashboard.
mmWave Radar Fall Detection System — HLK-LD2450 radar with Random Forest model and live Flask dashboard.
AI Patient Monitoring System — Fall, gesture, and emotion detection with Telegram alerts (PC and Raspberry Pi variants).
Smart Waste Segregation and Reward System — IoT weight sensors with automated segregation and reward tracking.
Drone vs Bird Audio Classification System — Real-time acoustic classification for airspace monitoring.
AI-Based Smart Traffic Management System — YOLOv8 + ByteTrack violation detection with police/citizen dashboards.
Smart Cooking IoT Dashboard — Login-gated monitoring dashboard with real-time appliance data APIs.
Quantum Enhanced Secured IoT Communication — BB84 QKD vs classical encryption pipeline with anomaly detection.
EEG-Based Motor Imagery Classification — Multi-channel EEG signal processing for assistive control systems.
Weapon Detection System using YOLOv8 — Real-time webcam-based detection for grenades, guns, and knives.
Grape Leaf Disease Detection System — CNN-based image classification for precision agriculture.
Smart Agriculture Crop Disease Platform — AI-powered plant disease diagnosis with cloud-based reporting.
IoT-Based Environmental Monitoring Dashboard — ESP32/LoRa sensor network with real-time analytics.
Multimodal Disease Detection Chatbot — Image-based human/plant disease diagnosis with cure recommendations.
Smart Home Automation System — ESP32-based appliance control with mobile dashboard integration.
Gas Leak and Fire Detection System — Real-time sensor-based hazard alerts with SMS/Telegram notification.
Smart Parking Management System — IoT sensor-based slot detection with live availability dashboard.
Industrial Equipment Health Monitoring — Vibration and temperature sensing for predictive maintenance.
GPS-Based Vehicle Tracking System — Real-time location tracking with geofencing alerts.
Smart Street Lighting System — Motion and ambient-light based automatic intensity control for energy saving.
Key Features & Benefits
Applications
Our embedded systems projects serve a wide range of real-world applications, including:
Industrial automation and predictive maintenance
Healthcare and patient safety monitoring
Smart agriculture and crop disease detection
Public safety, surveillance, and traffic management
Energy efficiency and power quality correction
Environmental and water quality monitoring
Women's safety and personal security systems
Smart cities and infrastructure automation
Academic research and final-year engineering projects
Implementation Guide
Who Can Benefit
B.Tech / Diploma Students — final-year and mini-project embedded systems and IoT projects with full documentation and reports
Engineering Colleges — ready-to-demonstrate hardware-software projects for lab and academic submission
Startups — rapid embedded prototyping for product MVPs
Industries — custom automation, monitoring, and predictive maintenance solutions
Research Scholars — AI/ML-integrated embedded systems for publication-ready work
Agritech & Healthtech Companies — domain-specific IoT and AI deployment
Technical Specifications
Why Aislyn Technologies
Bangalore-based team with hands-on experience across 25+ real embedded and IoT builds
End-to-end delivery: hardware design, firmware, cloud dashboards, and mobile integration
Strong AI/ML integration — computer vision, classification models, and predictive analytics built into hardware projects
Full project documentation and B.Tech-style reports for academic submissions
Proven work across healthcare, agriculture, safety, energy, and smart city domains
Direct support from design to deployment — no outsourced or templated work
