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All customer cases - Yansi Technology
Yansi Technology
Wuhu Yansi Technology Co., Ltd. has been deeply engaged in the water transport logistics industry for more than 20 years. Based on its profound understanding of the water transport logistics industry and resource accumulation, it spent 10 million yuan over two years to deeply analyze the pain points of the industry, and independently developed and designed the Internet of Things management solution for the water transport logistics industry, which is "intelligent terminal for ship management"+"EasyNavigation oTMS water transport logistics SaaS management platform".
Use product
Support and communication
"AI Sailing" Intelligent Identification of Ship Transportation Status
Value achievements
1. Efficiency improvement: Yihang oTMS completed model training in half a day using Baidu EasyDL customized image recognition platform; After the platform is connected to the image classification model, the recognition of empty and full loads can be completed in less than 1 second on average, which greatly provides the recognition efficiency of empty and full loads. At present, the intelligent judgment of 2000+ship status has been realized.
2. Accuracy improvement: through the image classification model trained by Baidu EasyDL, the accuracy rate of empty and full load reached 99.7%, far exceeding the recognition effect of the original overseas supplier model.
3. Cost saving: In the past, the cost of purchasing machine learning suppliers to train a model was often more than 100000, which saved the development cost of finding professional machine learning teams by accessing Baidu EasyDL platform.
4. Scene subversion: Through access to Baidu EasyDL customized image recognition platform, EasyDL oTMS has created the industry's first intelligent water transport dispatching platform based on AI to identify the empty and full load status of ships.
Case Story
Core demands
Pain points and demands of freight forwarders and shippers: In the past, ship scheduling and distribution in the water transport industry could only match information offline. Shippers often had to go to multiple freight forwarders to find suitable ships for transportation, which took a long time and was inefficient. If the platform can realize the sharing of empty and full load data of ships, ship positions and other data, it will greatly improve the efficiency of ship scheduling and distribution in the water transport industry, and quickly solve the supply distribution problem.
Solution
The biggest technical difficulty encountered in the actual identification of Yihang oTMS is that the ship is sailing on the Yangtze River, and the pictures taken by intelligent hardware have different degrees of clarity, such as rainy weather conditions, tree shadows, interference from other ships in the photos, dryness and wetness in the hull cabin, types and colors of cargo, which will affect the identification of empty and full loads, thus reducing the identification rate.
Baidu EasyDL customized image recognition platform can accurately judge the empty and full load status of ships in different environments through intelligent learning and training, which solves the problem of low recognition rate of general algorithms and ensures the authenticity of empty and full loads of ships.
Step 1: Take photos of the intelligent hardware installed on the ship regularly;
Step 2: After taking photos, upload them to the server through 4G signals;
Step 3: The server calls Baidu EasyDL interface, returns relevant parameters, and the server makes records;
Step 4: The client is in empty and full load status.
Technical capability
Voice technology
Character recognition
Face and Human Body
Image technology
Language and knowledge
video technique