The development of smart logistics for enterprises is inseparable from automated volume measurement equipment
Writer：Goodscan Time：2021-11-30 17:33
Since the establishment of the company in 2015, Yifang Technology has focused on the field of cargo volume measurement, and has developed a variety of volume measurement products and cargo information collection solutions, which are of great significance to help logistics-related enterprises to achieve efficient operations, so they are also popular with users. Like it.
In the field of logistics and warehousing, the collection of cargo data information is very important. We can sort through cargo information, classify and store them, or use cargo information for big data analysis, which is better for the logistics industry.
Based on the above effects, Yifang Technology uses the current mainstream 3D vision technology to integrate "computer vision + photogrammetry + 3D remote sensing" and other technologies to empower products, develop efficient cargo data information collection equipment, and effectively help companies quickly collect rules/ Information such as the volume, weight and barcode of irregular goods can effectively reduce labor input, reduce labor costs, and achieve operational efficiency and economic benefits.
With the development of smart logistics, traditional logistics companies are gradually transforming and modernizing, and automation equipment is becoming more and more popular. It mainly solves the pain points of traditional logistics:
The emergence of automated volume measurement equipment has solved the pain points of traditional logistics data collection: automatic data collection, fast speed and high precision, one device can replace multiple labor, which saves costs and improves efficiency.
At present, the volume measurement equipment of the foreign party has been exported to 13 overseas countries and regions, including the United States, Japan, the United Kingdom, and Germany, and has been favored by everyone.
Difficult to recruit, difficult to employ, and high cost
Low work efficiency and long time consuming
Manual measurement data is inaccurate and large errors
Data needs to be manually connected to the system