R&D Technology

Maritime Technology
Development

Pioneering the future of port automation and maritime operations through cutting-edge PLC controllers, IoT sensors, AIS receivers, and intelligent systems for autonomous port management.

🔬 ACTIVE R&D

Current Tech Stack

PLC Systems

ESP32

CV Cameras

AIS Receivers

Sensors

HMI Panels

Active Projects

5 Major R&D Initiatives

Team Size

15+ Engineers

Research & Development Projects

Our ongoing projects in port automation, sensor networks, and maritime IoT solutions.

PLC & Serial Port Integration

PLC Control Serial Port Weighbridge

Development of PLC controllers and serial port integration systems for port gate automation and weighbridge operations. Real-time data acquisition from industrial equipment for automated port entry management.

Key Components:

Siemens PLC S7-1200
RS-485 Serial Interface
Modbus TCP Protocol
Industrial Weighbridge
Status: Deployed
Technical Docs

Modular AIS Receiver System

ESP32 AIS Computer Vision

Development of modular AIS (Automatic Identification System) receivers using ESP32 microcontrollers integrated with cameras and environmental sensors for strategic vessel traffic monitoring points.

Sensor Integration:

ESP32-WROOM-32 Dual-core 240MHz, WiFi/Bluetooth
AIS Receiver Module 162.025 MHz & 161.975 MHz
Camera Module OV2640 2MP with AI Object Detection
Environmental Sensors Wind, Current, Visibility Monitoring
Status: Prototyping
GitHub Repo

HMI & Autonomous Container Tracking

HMI Autonomous RFID

Development of Human-Machine Interface (HMI) systems for autonomous container tallying and movement tracking within port areas. Real-time container position monitoring and automated inventory management.

System Features:

  • Touch-screen HMI with industrial-grade panel
  • RFID & GPS container tracking integration
  • Autonomous tally system with computer vision
  • Real-time container movement analytics
Status: Testing
Case Study

Cargo Manifest Sensor Network

Weight IoT Realtime

Development of IoT sensor devices for real-time cargo manifest accuracy and inflow monitoring. Advanced sensor networks for weight, dimension, and content verification during cargo operations.

Sensor Specifications:

Load Cells

±0.05% accuracy

3D Lidar

Volume measurement

RFID Readers

UHF 860-960MHz

Environmental

Temp/Humidity

Status: R&D Phase
Sensor Specs

Technology Development Timeline

Our roadmap for maritime technology innovation and deployment.

Q3 2023 - Completed

PLC Gate Control System

Live

Developed and deployed PLC-based automated gate control systems with serial port integration for port entry management and weighbridge operations.

Siemens PLC RS-485 Modbus TCP
Q4 2024 - Current

ESP32 AIS Receiver Network

Prototyping

Developing modular AIS receiver systems using ESP32 microcontrollers with integrated cameras and sensors for strategic vessel traffic monitoring.

ESP32-WROOM AIS VHF Computer Vision
Q1 2025 - Planned

Autonomous Container HMI System

Design Phase

Implementation of HMI controllers for autonomous container tracking and tally systems using RFID, GPS, and computer vision technologies.

Industrial HMI RFID Tracking Autonomous AI
Q2 2025 - Planned

Ship Fuel & Emission Monitoring

R&D Phase

Development of controller systems for ship fuel tanks, emission monitoring, and freshwater management with IoT sensor integration.

Fuel Monitoring Emission Sensors Water Management
Q3 2025 - Vision

Integrated Port IoT Ecosystem

Future Vision

Complete integration of all systems into a unified port IoT ecosystem with AI-driven analytics, predictive maintenance, and autonomous operations.

AI Analytics Predictive AI Full Autonomy

Technical Specifications

Detailed specifications of our hardware and software components for maritime automation.

Hardware Components

PLC Controller

  • Model: Siemens S7-1200
  • CPU: 1214C DC/DC/DC
  • Memory: 75KB Work / 4MB Load
  • Interfaces: Ethernet, RS-485

ESP32 Module

  • Model: ESP32-WROOM-32
  • Processor: Dual-core 240MHz
  • Wireless: WiFi 4, Bluetooth 4.2
  • GPIO: 34 Programmable

AIS Receiver

  • Frequency: 161.975 MHz & 162.025 MHz
  • Sensitivity: -117 dBm
  • Protocol: NMEA 0183
  • Range: Up to 50 nautical miles

Software & Protocols

Communication Protocols

Modbus
TCP/RTU
MQTT
IoT Messaging
OPC UA
Industrial
NMEA
Maritime Data

Development Stack

C++ Python JavaScript Node-RED TIA Portal Arduino IDE

Data Processing

  • TimescaleDB for time-series data
  • Apache Kafka for data streaming
  • Grafana for real-time dashboards
  • Edge computing with TensorFlow Lite

Team & Collaboration

Our multidisciplinary team of engineers and researchers working on maritime technology innovation.

Hardware Engineering

PLC, microcontroller, and sensor development

Software Development

IoT protocols, data processing, AI algorithms

Maritime Experts

Port operations and regulatory compliance

Collaborate on Maritime Innovation

Interested in partnering with us on port automation, IoT sensor development, or maritime technology research?

Academic partnerships • Industry collaboration • Technology licensing