Starting from autonomous driving, Qomolo breaks the limits of time, space, and our own thought process to bring logistics towards a new future.

Starting from autonomous driving, Qomolo breaks the limits of time, space, and our own thought process to bring logistics towards a new future.

Intelligent loading, unloading, and transportation technologies and intelligent equipment reconstruction at railway stations, such as remote control and autonomous truck driving, ensure intelligent production of the entire logistics chain

Unattended gates, and no physical trigger is required;
Comprehensive peripheral deployment ensures unattended gate passing;
Real-time multi-sensor fusion recognition technology, millisecond-level recognition

Monitor the running status of all peripherals and can remotely turn gate-related devices on and off;
Remotely restart all gate-related devices;
One operator can monitor and operate multiple gates simultaneously

Common and durable devices are used;Standard installation solutions ensure fast deployment;
Embedded with a web-based gate operation system (GOS) that does not require client installation;
Embedded with the WellE platform for data management, query and statistics collection

Revolutionized security surveillance methods

Multiple integrated sensors

360° coverage without any dead zones

24/7 high-precision intelligent supervision

More efficient safety supervision and epidemic prevention and control

Meet intelligent recognition and sorting requirements of containers

Real-time multi-sensor fusion recognition technology, millisecond-level recognition

Work in multiple states to perceive all scenarios

Meet intelligent recognition and tally requirements of automated and remotely controlled quay cranes;
Real-time video stream recognition technology, millisecond-level recognition;
Monitor ship operation information, identify and display container operation information, and monitor multiple operation lines simultaneously

Remotely monitor and manage the working status of hardware devices in a unified manner;
Issue reminders of hardware device faults, and remotely restart hardware devices;
A single operator can monitor and sort goods for multiple cranes simultaneously

Common and durable devices are used;
Standard installation solutions ensure fast deployment Intelligent bay identification algorithm for intelligently identifying the loading and unloading positions of container vessels

Embedded with a web-based crane operation system (COS) that does not require client installation

Embedded with the WellE platform for data management, query and statistics collection

Starting from autonomous driving, Qomolo breaks the limits of time, space, and our own thought process to bring logistics towards a new future.