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Vehicle + Personnel Management Solution
Vehicle + Personnel Management Solution
In West Africa, our integrated Vehicle + Personnel Management Solution streamlines operations by providing real-time oversight of both workforce and fleet.
Key Features:
- Real-Time Tracking: Continuous location updates for both vehicles and personnel.
- Centralized Management: Single platform to monitor attendance, security status, and operational efficiency.
- Enhanced Security: Instant alerts and incident response tools for rapid decision-making.
- Route Optimization: Intelligent algorithms to plan efficient travel and reduce operational costs.
CATTLE MANAGEMENT SYSTEM
We have deploy our LoRAWAN technology in Johor. Our customer is KULIM Berhad which is a plantation company, where they require monitoring system for their cattle in the oil palm tree plantation site. The uniqueness of this project is the cattle roam free under the oil palm tree, which other IoT technology like WIFI and GSM is not applicable to collect data. Our system features a LoRaWAN Cow Ear Tag which is small and tag onto the Cattle Ear.
Furthermore, our technology is also the first IoT project where we use satellite communications to transfer the collected sensors data. With the use of Satellite communication, our system is applicable to rural area where there is no active internet access. The system architecture is shown in figure below.
Once the data was collected back at the ground station, the sensor data was push through to our cloud database through REST API which allow the data to be processed and display in our web-based cattle management system.
The pole shown in figure below is our set up at the plantation site, which includes the LoRAWAN gateway, solar panel and satellite terminal.
WILDFIRE DETECTION SYSTEM
Wildfire detection system combines both remote sensing and IoT system. The system can monitor wildfire in forest using optical images and radar images from satellites combining with the wildfire sensor.
The wildfire sensor will give alert through the system when there is fire in the forest. The remote sensing data will also provide an insights on the location of the fire through the forest map.
These data enables the system to accomplish operations such as fire situation analysis, fire spread analysis, emergency dispatch and command, and damage assessment.
The Wildfire sensors collects data through LoRaWAN and transmit data through satellite communication which allow it to deploy into forest where internet access is limited.
IOT WEATHER STATION
Weather station was developed in house which features our own designed PCB board. This PCB board allow us for custom sensor integration and custom set up for our client.
The default set up for weather station features multiple sensors which monitor 8 weather parameters such as:
1. Wind direction,
2. Wind speed,
3. Rain volume,
4. Temperature,
5. Ambient Humidity,
6. Barometric Pressure,
7. Light Intensity
8. UV Index.