The emergence of machine vision effectively solves the problems of single traditional logistics means, high reading error rate, large fluctuation of bubble metering efficiency and rising labor costs. A series of visual solutions such as automatic grasp, code reading, volume measurement, sheet tracking, etc., are becoming an indispensable intelligent means in the logistics industry.
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Industry overview
1.Visual traceability management
Comprehensively supervise the key nodes of production, accurately trace the visual problem scenes, and improve the efficiency of customer complaint processing.
The logistics industry needs to deal with a large number of parcels every day, but problems such as bag loss, goods damage, and inefficiency often affect the normal operation of enterprises. Although enterprises through increasing the number of regular inspection and other means to improve the quality of production. However, when the problem really occurs, it is often difficult to quickly lock production defects, which requires a lot of manpower, material resources and time costs to systematically investigate the causes of occurrence, and can not become a routine means of daily management of production and operation of enterprises.
2. Automatic perception of cargo information
Relying on AI Cloud technology framework, the package is automatically weighed, volume measurement, barcode recognition, and the data is fused and transmitted to the system server.
The logistics product data is sensed and then fed back to the business system through the open API interface. For example, the DWS system senses the cargo information such as barcode data, weight and volume data, and then transmits it to the logistics business system, and opens up with the entire sorting system behind it to achieve data collection and the sorting of the goods behind it.
3. Logistics perception
Technology is enabled based on AI, and deep learning and multi-dimensional perception technology are used to achieve package barcode reading, OCR recognition, and volume measurement.
The reading technology based on deep learning can handle a variety of complex situations, such as large depth of field, wrinkles, dirt, reflection and other abnormal situations; At the same time, because our camera adopts the AI chip platform, it realizes the multi-purpose of one machine, and can realize the functions of code reading, surface picking, OCR recognition and surface image enhancement in one equipment manufacturer, which is also the biggest advantage of our products compared with domestic and foreign competitors.
4. Package identification
Relying on deep learning algorithm and active binocular imaging technology, self-developed intelligent stereo camera is used for accurate positioning and identification of packages, and automatic package classification, separation and loading are realized.
With the rapid development of the logistics industry, the amount of packages is increasing, and the need for automatic upgrading is becoming more and more urgent. For complex and diverse package scenes, Hikang intelligent stereo cameras can output high frame rate RGB-D images to achieve accurate positioning of packages, and have been used in scenes such as single piece separation, robot package supply, disassembling and palletization.
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