INITIALIZING SYSTEMS...
Bridging Hardware & Software

INTELLIGENT SYSTEMS
POWERED BY AI & IoT

We design, build, and scale real-world embedded solutions connecting custom hardware, cloud architecture, and edge machine learning models.

INNOTECH SOLUTIONS emblem logo
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Animated System Integration Flow
Sensors & Signals
ESP32 / Edge Hardware
Firebase Cloud / API
AI / ML Prediction
Realtime Dashboard
Interactive Tool

CUSTOM SYSTEM ARCHITECT

Select components interactively to simulate your IoT/AI pipeline metrics instantly.

Realtime System Schematic
Soil NPK
💾
ESP32
☁️
Firebase
Power Consumption 120 mW
Transmission Latency 45 ms
Data Throughput 80 B/s
Engineering Advisory Report

Highly optimized combination for remote smart farming. ESP32 low-power sleeping state saves battery, paired with Firebase sync for real-time dashboard plotting.

ENGINEERED INTEGRATION

We specialize in connecting physical devices to intelligent software logic.

IoT Systems

High performance ESP32/Raspberry Pi architectures with sub-second real-time sensor syncing and MQTT/Firebase cloud pipes.

Machine Learning

Deploy custom classification models, predictive maintenance algos, and anomaly detectors directly on high-performance Cloud APIs or Edge units.

Mobile & Web Apps

Beautiful, low-latency control dashboards, native Android tracking software, and fully responsive administrative telemetry tools.

C / C++ Firmware
Python AI & Data
Node.js Backends
Kotlin / Java Android
Firebase Cloud DB & Sync
MongoDB NoSQL Store
ESP32 WiFi & BLE Edge
Arduino Prototyping
Raspberry Pi SBC Gateways
Jetson Nano Edge AI & GPU
PIC Micro Industrial IC
MySQL Relational DB
SQLite Local Device DB
Who We Are

INNOVATING AT THE CORE

Combining mechanical hardware, firmware architecture, and intelligence layer logic into seamless pipelines.

Our Core Vision

At INNOTECH SOLUTIONS, our focus is "Bridging the gap between Hardware and Software using AI, IoT, and Embedded Intelligence". We design modern architectures that allow industrial machinery, agricultural systems, and mobile sensors to report, analyze, and automate dynamically.

Based in Udawalawa, Sri Lanka, we provide next-generation research, development, and scalable production pipelines for hardware-integrated automation models.

Advanced multi-layer PCB design and rapid sensor array prototyping.
Embedded programming using native ESP-IDF, Arduino, and micro-Python environments.
Custom Edge-ML deployment pipelines reducing latency and cloud costs.

Engineering Focus & Profile

1

Hardware Engineering & Prototyping

Component selection, PCB layout matching impedance constraints, and initial physical firmware verification.

2

Cloud Sync & Telemetry Pipes

Connecting hardware structures with low-bandwidth, encrypted channels using Firebase, Websockets, and MQTT servers.

3

AI Inference & Dashboards

Training neural network logic and rendering web dashboards for administrative management tools.

Case Studies

FEATURED PROJECTS

Real-world intelligent systems operating in real-time environments.

Smart Agriculture System Agriculture (University Support)

Smart Agriculture System

An automated irrigation and crop monitoring solution. Integrates physical soil NPK/moisture sensors with live weather forecasting APIs to predictive-control local solenoid valves.

ESP32 Soil Sensors Firebase ML Forecasting
Health Monitoring System Healthcare (University Support)

Health Monitoring System

ESP32-based wearable tracker syncs continuous ECG & heart rate data to Firebase. An integrated Android app uses Scikit-learn anomalies to ping emergency alerts instantly.

AD8232 ECG ESP32 Android (Java) Anomaly Detection
Smart Vehicle Tracking Automotive (University Support)

Smart Vehicle Tracking System

Real-time vehicle telemetry reporting speed, location via GPS + GSM protocols, and tilt-axis crash tracking. Includes admin control dashboard and custom Android app mapping.

GPS Module GSM SIM800L Node.js Google Maps API
Smart Solar Energy Energy (University Support)

Smart Solar Energy System

Dual-axis solar tracker paired with smart battery metrics. Uses ML regression analysis to decide when to switch building supply between battery reserves and utility grid.

LDR Sensors Python Edge Linear Regression Relay Control
Industrial Motor Monitoring Industrial Project

Industrial Motor Monitoring

Predictive maintenance system checking 3-phase current, voltage, temperature, and vibration. Uses a local machine learning classification model to flag early failures.

Raspberry Pi Vibration Sensors TensorFlow Lite Modbus RTU
Industrial PLC SCADA Gateway Industrial Project

Industrial PLC SCADA Telemetry Gateway

Developed an isolated Modbus-to-MQTT hardware gateway. Interfaced industrial Siemens S7-1200 PLC systems to custom AWS cloud visualization databases with zero packet loss.

ESP32-WROOM RS485 Modbus AWS IoT Core Siemens PLC
Edge AI Assistive Technology University Final Year Project

IoT Smart Blind Assist with Edge AI

Thesis support project using Ultrasonic distance array and localized TF-Lite speech engine running offline. Reads physical obstacles and reads alerts to Bluetooth earpieces.

STM32F4 TF-Lite Micro Ultrasonic Radar Offline Speech
Hydroponics System University Student Project

Autonomous IoT Hydroponics Lab

Student final year project regulating pH level, water temperature, EC levels, and artificial growth light arrays automatically. Sends statistics to companion Android controller.

Arduino Uno pH Sensor Relay Control Android Dashboard
Capabilities

OUR SERVICES

Tailored full-cycle development matching hardware to enterprise applications.

IoT Systems Development

Architecting secure, cloud-connected hardware systems with real-time data sync.

What we provide:

  • ESP32 / Arduino firmware writing using C/C++ or MicroPython.
  • Integration of complex sensor modules (NPK, ECG, MAX30102, DHT11, GPS).
  • Fast, low-latency cloud integrations via Firebase Realtime Database and MQTT brokers.
  • Robust error handling, reconnection protocols, and local flash memory buffering.

ML Model Building & Edge AI

Deploying high-performance models locally on edge processors or cloud APIs.

What we provide:

  • Predictive maintenance classification models (anomaly/fault pattern identification).
  • Time-series forecasting algorithms (weather, energy generation patterns, crop behavior).
  • Edge AI camera deployments using TensorFlow Lite and OpenCV on Raspberry Pi.
  • Custom inference server backend setup using Flask, FastAPI, and Docker.

Hardware Prototyping & PCB Design

Transforming breadboard mockups into professional industrial-grade PCBs.

What we provide:

  • Custom schematic creation and PCB routing using modern CAD packages.
  • Multi-sensor layout optimizations, noise suppression, and power filter design.
  • Enclosure prototyping, mechanical hardware matching, and physical assembly plans.
  • Production files preparation (BOM, Gerber files, Pick & Place configurations).

Android Mobile Dashboards

Native mobile tracking and controller companion apps with low latency feedback.

What we provide:

  • Android applications programmed using native Java/Kotlin.
  • Real-time telemetry chart renderings, speed indicators, and custom dials.
  • Background background push-alarms syncing with critical sensor triggers.
  • Native API mapping integrations (Google Maps, Firebase Storage, Bluetooth LE scanning).

University Project & Thesis Support

Comprehensive mentoring and implementation support for engineering, IoT, and software students.

Academic Assistance Services:

  • Final Year Project (FYP) prototyping support with ESP32, Arduino, or Raspberry Pi.
  • Firmware writing assistance, hardware sensor debugging, and electrical schematics verification.
  • Edge AI thesis implementations using TensorFlow Lite Micro, OpenCV, and Sci-kit Learn.
  • Source code optimization, detailed project documentation reviews, and hardware system walkthroughs.
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CONTACT INFORMATION

Let's discuss how we can build intelligence into your hardware or systems architecture.

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Contact Details

Office Location INNOTECH SOLUTIONS(PVT)LTD
72A Pagoda Rd, Nugegoda 10250 ↗