Automatic layer by layer unpacking machine
≤5
Minimum sample size
>99.99%
Coincidence
>30
Number of compatible models
99%
Automation
AI camera
Real-time monitoring
OCR inspection
Quality inspection
Product Parameters
- Small sample training： Reduce the excessive dependence of AI algorithm on data size.In the detection of common types of defects, it can realize quick training and deployment on the basis of a small amount of data, winning rather high detection accuracy
- Transfer learning： Enhance the universality of neural network model.Based on the extraction and training of common features of products made of the same material, improve the detection universality of neural network model, transfer the model to more product models and solve the application scenario problems of fewer samples and more models
- Visual debugging： Solve the black box problem generated by the neural network under the module "Classification" of deep learning algorithm, and guide the optimization of neural network model through visual thermodynamic diagram
- Hardware accelerating optimization： Fully accelerate the optimization of software and hardware. On the basis of ensuring the detection accuracy and precision, it can detect small articles much faster than the traditional algorithms.
- Image feature enhancement： Effectively improve the detection accuracy by multi-dimensional feature extraction Conduct the multi-dimensional feature extraction for training set images, auto-filter the effective feature information and increase the training weight of such data to effectively improve detection accuracy.Conduct the multi-dimensional feature extraction for training set images, auto-filter the effective feature information and increase the training weight of such data to effectively improve detection accuracy
- Precise feature recognition： By optimizing the underlying framework of the algorithm, the detected target area is infinitely coincident with the detection result, so as to improve the detection accuracy and greatly reduce the rate of over detection and missed detection
Our Advantages
Technical Proposal
Applicable Scenarios
Layer By Layer Debagging Machine
The small bag unloading machine (layerby layer) is suitable forbatch unpackingof 25kg bagged powderand granular materials.It greatly improves productivity,reduces labor intensity,and achieves large-scale,high-efficiency automated production by unpacking the stacked small bags layer by layer.The Layer By Layer Debagging Machine is mainly used for debagging and unloading bagged materials.Its working principle is as follows:The debagging machine grabs the whole layer of bags,opens them,and automaticaly separates the bags and their contonts.The material fiows out from the lower material opening,and the empty bags enter the bag collector and are output from the collector outlet.
Global Solutions
UV Coating System
Automatic packaging machines are mainly used for automatic packaging of materials in industries such as food, medicine, chemical engineering, and plant seeds.
Contact Us
Address：Room 3506, Building A, Huijin Center, Yangshe Town, Zhangjiagang City
Tel：18913613799
Email：jeffrey@starsunion-automation.com
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