AI luggage package volume detection system

The Guangzhou Kedi Ou AI luggage package volume detection system adopts an AI multi-sensor fusion solution. By deploying AI high-precision deep detection and recognition cameras, combined with self-developed AI volume detection algorithms, it can complete a 360 degree panoramic scan of the luggage within 0.3 seconds. The test data shows that the measurement error of its length, width, and height is controlled within #177; Within a range of 3mm, far exceeding the standards set by the International Air Transport Association (IATA); #177; 5cm error standard.

With the increasing popularity of air travel, oversized luggage has become a common problem that troubles passengers. Launched by Guangzhou Kediou CompanyAI luggage package volume detection systemIt is reshaping the new paradigm of airport baggage management with its cutting-edge technology and practical functions. This intelligent measurement device that integrates artificial intelligence and 3D vision technology not only solves the pain point of low efficiency in traditional manual detection, but also provides key technical support for the construction of smart airports through millimeter level accuracy and second level response speed. This intelligent measurement device that integrates artificial intelligence and 3D vision technology not only solves the efficiency bottleneck of traditional manual detection, but also builds a win-win smart travel scenario for passengers and airlines through digital means.

1、 System technology

At the technical architecture level, KeDiOuAI luggage package volume detection systemWe have adopted an AI multi-sensor fusion solution. By deploying AI high-precision deep detection and recognition cameras, combined with self-developed AI volume detection algorithms, a 360 degree panoramic scan of the luggage can be completed within 0.3 seconds. Test data shows that the measurement error of its length, width, and height is controlled within ± 3mm, far exceeding the ± 5cm error standard specified by the International Air Transport Association (IATA).

The AI core of the system is equipped with deep learning models trained on millions of samples. When the luggage passes through the detection area, the algorithm can intelligently identify protruding parts such as pull rods and pulleys, and automatically deduct the local protruding volume that does not affect transportation. A test case at an international airport shows that the system has reduced the misjudgment rate of traditional manual detection from 15% to 0.7%, while shortening the time for single luggage detection from 45 seconds to 3 seconds. What is more noteworthy is its adaptive learning ability - the system will continuously collect the structural characteristics of different brands and models of luggage, forming a dynamically updated database to continuously improve measurement accuracy over time.

2、 System application

From the perspective of application scenarios, this system demonstrates astonishing adaptability. In the deployment case at the airport, the equipment is integrated into the self-service check-in area, where passengers only need to place their luggage into the designated area, and the touch screen immediately displays the precise three-dimensional dimensions. When excess luggage is detected, the system will intelligently recommend solutions: either guide to the luggage packing service area, or calculate the estimated excess fee. This full process service design has reduced the passenger complaint rate by 62%. According to the airport operations department, each passenger saves an average of 8-10 minutes in processing time.

3、 System features

The highlights of technological innovation are concentrated on the application of edge computing. The system adopts a localized AI processing mode, with all calculations completed on embedded GPU modules, ensuring both data privacy and stable operation during airport network fluctuations. The algorithm uses deep learning models trained on millions of luggage images and can recognize over 200 luggage brand features, even detecting special structures such as hidden wheels and expansion layers.