🔬 Research & Development

At our core, innovation isn't just a department — it's a mindset.

Our R&D division is where software intelligence meets hardware precision, combining expertise in IoT, AI, edge computing, and real-time data systems to build solutions that go beyond traditional automation.

We focus on developing scalable, high-performance prototypes that can be transformed into full-scale products, helping industries step confidently into the era of connected intelligence.

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IoT Tracking System — Intelligent Path Control

Our current IoT research centers around a real-time tracking and route management system powered by Raspberry Pi, GPS modules, and InfluxDB for time-series data.

Through a powerful admin interface, authorized users can:

Define and manage route paths remotely
Track movement in real-time with GPS precision
Receive instant alerts if the device moves out of the defined zone

When the system detects an out-of-range condition, it sends a live signal to perform actions such as triggering alarms, pausing equipment, or simulating safety shutdowns.

Key technologies include:

InfluxDB for high-throughput, low-latency GPS data ingestion
WebSockets for real-time bidirectional communication between server and devices
Secure IoT protocols ensuring reliable control commands even under network fluctuations

This technology has strong potential across logistics, industrial safety, vehicle tracking, and smart city management, offering clients precise control and traceability in complex environments.

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AI-Driven IoT Controls — Bringing Intelligence to Hardware

We are also pioneering AI-driven IoT automation, developing systems where machine learning models interact directly with physical I/O devices. The goal is to make devices not just connected, but cognitively aware.

Our research uses NVIDIA Jetson Nano development boards to enable on-device AI inference, reducing cloud dependency and latency. This allows devices to analyze sensor inputs, predict anomalies, and adapt behavior in real time — ideal for manufacturing, agriculture automation, and smart energy management.

Core research areas include:

Edge AI integration for autonomous decision-making
Neural control models for predictive automation
Seamless hardware-software orchestration between cloud and edge

By combining AI reasoning with IoT infrastructure, we're building systems that learn, adapt, and act — making automation truly intelligent.

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The Vision Ahead

Our R&D mission is simple: To engineer the future where machines understand context, data drives decisions, and intelligence lives at the edge.

Whether it's real-time tracking, industrial automation, or AI-powered control, our focus remains on turning innovation into impact — helping businesses operate smarter, safer, and faster.

Collaborate with Us

Interested in our research or want to collaborate on innovative projects?

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