Features

Remotely monitoring container​

Remotely monitor status and temperature of containers via computer or mobile devices.​

Remotely monitoring container​ feature

Timeline chart​

Continuously monitor container temperature and humidity with visualizations for both individual and aggregated data.​

Timeline chart​ feature

Data extraction and storage​

Allow user to download and store all reefer container data, including monitoring, control, and PTI (Pre-Trip Inspection) history.​

Data extraction and storage​ feature

Automatic alerting​

Detect container abnormalities, then automatically send alerts to the management center.​

Automatic alerting​ feature

Container location​

Track a container's location and visualize it on a live map​

Container location​ feature

Benefits

Ensure cargo quality with real-time monitoring of temperature and humidity​

Enable data-driven insights through automatic data extraction and storage​

Reduce manual intervention by remotely controlling the freezer system​

Prevent losses with automatic detection of abnormalities and instant alert​

Improve logistics visibility using GPS-based container location tracking​

Applications

Food & Beverage​

Food & Beverage​

Pharmaceuticals​

Pharmaceuticals​

Chemicals

Chemicals

Floriculture​

Floriculture​

Video​

Smart Reefer, Total Control. Get real-time data and remote control over your refrigerated containers to protect cargo, reduce spoilage, and boost efficiency.​

Case Study

Project Highlights​

  • IoT-Driven Environmental Control: Implement an IoT solution to continuously monitor and manage temperature and humidity levels within containers​.
  • Real-Time Data Transmission: Utilize 4G connectivity for instant access to container conditions and locations from anywhere.​
  • Proactive Anomaly Alerts: Establish automated alerts for temperature and humidity issues, enabling prompt intervention to protect cargo integrity.​

Problem Statement​

  • Lacking Temperature and Humidity Control: Limited control over internal container conditions might cause damage to goods during transport.​
  • Delayed Issue Detection: The client struggled to detect and address abnormalities and problems arising within the containers promptly, which increased the risk of further complications and losses.​
  • High Labor and Time Costs: Manual monitoring and controlling container temperatures required significant labor and time, increasing operational expenses.​

Solutions

  • IoT Application: Leverage IoT technology to manage temperature and humidity within the containers.​
  • Wireless Connectivity: Support wireless connection via 4G mobile networks, enabling seamless data transmission for monitoring anytime, anywhere.​
  • Digital Map Integration: Use a digital map interface to manage and track container locations, and improve operational oversight.​