Automatic layer by layer unpacking machine

Double-Sided AI Artificial Intelligence Detection Equipment
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≤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

  • Single positive sample:For products with clear image features and single defect type, high detection accuracy can be achieved in a short time through OK sample training, so as to achieve the rapid project deployment
  • Machine learning & deep learning: Taking advantage of the machine learning algorithm's application in detection speed and detection stability and in combination with the characteristics of deep learning algorithm such as interference, efficient feature extraction and generalization ability, it can effectively enhance the item detection stability and detection accuracy 
  • 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
  • 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
  • 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
  • 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.

Our Advantages

Dimensional measurement
Realize accurate calculation in the image by acquiring pixel information in the image
One class training
Conduct the training through positive samples and use model reasoning to predict the type of new pictures
3D detection
Mark and train the 2D images converted from 3D point cloud data to generate AI neural network model
Code reading
Strengthen the code reading algorithm, improve the recognition rate, and optimize the scanning scenarios such as deformed and fuzzy codes

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.

 

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Technical Proposal

Visual Inspection Catalog

9.2MB

2025-01-17

Visual inspection reference price

257.3KB

2025-01-17

Global Solutions

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