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STONKAM’s AI Fleet Management Platform combines AI video analytics, remote monitoring, cloud data collaboration and blind spot detection to support safer fleet operations.
STONKAM has introduced its AI Fleet Management Platform, a cloud based fleet management and decision making system designed to support connected commercial vehicle operations.
Built on an AIoT architecture, the platform collects and analyzes data from in vehicle devices, including video, GPS, alarm events, driver behavior and vehicle operating status. The system uses cloud based dashboards to help fleet managers monitor vehicles remotely, evaluate safety performance and identify operational risks.
The platform is designed to address common challenges in fleet operations, including fragmented vehicle data, limited real time visibility, delayed safety response and inefficient manual dispatching. By centralizing multi source vehicle data, the system supports remote monitoring, fleet tracking, risk alerts and operational coordination.
STONKAM’s platform includes AI video analytics, alarm statistics, driver behavior evaluation and visual reporting tools. When unsafe driving behavior is detected, the system can send alerts to fleet managers and provide access to cloud video evidence for incident review and liability assessment.
Safety functions include G sensor based driving behavior detection and AI BSD blind spot detection, supporting multi level alerts and regulatory oriented safety coverage. These functions are relevant for public transport, logistics, construction machinery, port logistics and mining operations where visibility, safety and fleet coordination are critical.
The platform also supports integration with existing fleet management ecosystems, including CMSV6, Wialon and other telematics platforms. This allows operators to connect AI video monitoring and fleet data tools with current operational systems.
For bus and commercial vehicle operators, the STONKAM AI Fleet Management Platform reflects the broader shift from traditional surveillance toward intelligent, cloud connected fleet operations, where video, vehicle status and driver behavior data are used to improve safety and operational decision making.
