Inspection of Cargo Securing Process to Reduce Complaints

Overview: AI-Driven Inspection Solution to Prevent Product Damage

A European window and door manufacturer faced a costly issue: products arrived damaged due to inadequate securing during transport. Windows, meticulously loaded and secured with belts to prevent movement, would sometimes shift during transit. After a few kilometers, drivers were expected to re-enter the cargo area to adjust the belts as the cargo settled, preventing damage from any loosened restraints. However, when drivers neglected this critical step, the risk of damage increased significantly, leading to costly claims and return expenses.
To address this, Noctuai developed an AI-driven video analysis solution to monitor and ensure compliance with cargo securing, utilizing heat map technology for simple, effective monitoring.

Key Challenges in Ensuring Cargo Securing Compliance

This project presented several key challenges:

1. Ensuring Compliance with Cargo-Securing Procedures: The client needed a way to verify that drivers consistently adhered to cargo-securing procedures during transit. Monitoring each driver’s entry into the cargo area and activity around each securing point was essential to prevent product damage.
2. Minimalist Approach for Efficient Monitoring: To create an efficient, low-complexity solution, Noctuai aimed to avoid a detailed analysis of the driver’s actions. Instead, the solution focused on verifying whether the driver entered the cargo area and how long they spent near each securing point.

Solution Approach: AI-Powered Heat Map Technology for Cargo Inspection

Noctuai developed a practical, straightforward approach to ensure compliance with cargo-securing procedures:

1. Heat Map Technology for Inspection Verification: Instead of tracking each movement, Noctuai applied heat map technology to verify that the driver entered the cargo area and spent time near each securing point. This simple approach provided reliable insight into whether the driver followed procedures without requiring extensive motion analysis.
2. Real-Time Monitoring with In-Truck Cameras: Cameras installed in the cargo area allowed real-time monitoring, capturing data on the driver’s presence and activity around the securing belts.

Outcomes: Reducing Product Damage with AI-Driven Cargo Monitoring

Within one month, Noctuai successfully implemented the cargo inspection solution, resulting in measurable improvements:

• Enhanced Compliance with Cargo Securing Procedures: The heat map-based monitoring system nearly eliminated non-compliance instances, ensuring drivers adhered to necessary safety protocols.
• Reduction in Product Damage and Return Costs: The solution helped significantly reduce the frequency of damaged goods arriving at the destination, leading to lower return and claim expenses.
• Efficient, Low-Cost Monitoring Solution: The minimalist approach offered a cost-effective and practical solution that met the client’s goals without unnecessary complexity.

This project demonstrates Noctuai’s ability to develop simple yet impactful AI-driven solutions that address specific operational challenges. These solutions deliver cost savings and improved logistics efficiency through effective compliance monitoring.