Are You Struggling with These Logistics Challenges?
- Poor Load Optimization, Soaring Costs
Reliance on manual volume estimation causes inaccuracies, leading to wasted space and unsustainable transport expenses.
- Chaotic Cargo Loading, Wasted Capacity
Absence of data-driven space planning results in inefficient cube utilization, reduced payload per trip, and compromised fleet productivity.
- Unresolved Cargo Incidents & Liability Disputes
Missing real-time monitoring and digital evidence creates blind spots for damage/theft incidents, triggering insurance conflicts and operational liabilities.
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Smart Space Scanner: Instantly identifies available cargo space

AI-powered adaptive vision system delivers real-time cargo hold monitoring across all lighting conditions. Utilizing semantic segmentation algorithms, it precisely identifies available space and dynamically maps cargo positioning, enabling instant space utilization analytics for logistics operators.

Space Utilization Assessment

AI-powered analytics replace error-prone manual estimations, automatically calculating cargo space occupancy rates. This enables scientific cargo arrangement to maximize space efficiency and significantly improve transportation productivity.

AI Pedestrian Detection with Real-Time Alerts

Equipped with a built-in pedestrian detection algorithm, it monitors abnormalities inside the cargo hold in real time, effectively preventing cargo theft and illegal human transportation, while providing timely warnings of potential security threats and further enhancing cargo hold safety protection.

Fleet Management, Smart Cargo + Safe Driving

Compatible with STONKAM AI 4G Dashcam (with DMS & ADAS) or MDVR systems, enabling HD recording, real-time data upload, and optimized fleet operations.

Multi-Protocol Compatibility

Compatible with RTSP/ONVIF/ISO-17215 protocols for reliable video streaming and cross-platform integration, meeting diverse cargo monitoring requirements.

Application

STONKAM intelligent cargo space monitoring camera utilizes AI vision technology to dynamically monitor and analyze cargo hold occupancy in real time, providing accurate space utilization metrics. Its integrated pedestrian detection algorithm enables 24/7 anomaly surveillance. By digitizing and visualizing loading operations, the system optimizes loading efficiency, ensures cargo integrity, and reduces operational expenses, making it ideal for logistics transportation and warehouse management applications.