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Anhui Keye Information & Technology Co., Ltd.
Anhui Keye Information & Technology Co., Ltd.

Anhui Keye Information & Technology Co., Ltd.

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30 CC - 100 CC Tablet Bottles Visual Inspection System With Deep Learning Algorithm

30 CC - 100 CC Tablet Bottles Visual Inspection System With Deep Learning Algorithm

  • 30 CC - 100 CC Tablet Bottles Visual Inspection System With Deep Learning Algorithm
  • 30 CC - 100 CC Tablet Bottles Visual Inspection System With Deep Learning Algorithm
30 CC - 100 CC Tablet Bottles Visual Inspection System With Deep Learning Algorithm
Product Details:
Place of Origin: China
Brand Name: KEYE
Certification: NO
Model Number: KVIS-B
Payment & Shipping Terms:
Minimum Order Quantity: 1 SET
Price: Negotiable
Packaging Details: Fumigation-free wood
Delivery Time: 4 to 6 weeks
Payment Terms: L/C, T/T
Supply Ability: 1 set per 6 weeks
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Detailed Product Description
Name: 30 CC-100 CC Tablet Bottles Visual Inspection System Brand: KEYE
Condition: New After Sale Service: On-line Service
Warranty: 1 Year Test Report: Provided
Voltage: Adapt To National Standard Weight: 400kg
MOQ: 1 Set Loading Port: Shanghai
High Light:

100CC Tablet Bottles Visual Inspection System

,

30 CC Tablet Bottles Visual Inspection System

 

30 CC-100 CC Tablet Bottles Visual Inspection System With Deep Learning Algorithm

 

Testing standards

Model Camera Scope Of Test Test Content Precision Accuracy  Speed

Kvis-Sc10

 

1set Bottle Mouth Area

Black Spots, Stains,

Impurities 

≥0.2mm 99% 200-500pcs/min
Flash, Lack Of Material ≥1.0mm 99%
4 Sets The Upper Area Of The Bottle Body

Black Spots, Stains,

Impurities 

≥0.2mm 99%
Bubble ≥1.0mm 99%
4 Sets Lower Area Of Bottle

Black Spots, Stains,

Impurities 

≥0.2mm 99%
Bubble ≥1.0mm 99%
1 Set Outer Bottom Of Bottle Black Spots, Stains, ≥0.2mm 99%
Impurities  ≥1.5mm 99%

Hole

≥1.0mm 99%

 

Detection Principle

Due to differences in raw materials, unstable mechanical equipment and insufficient manual operation, plastic products are prone to product quality defects during the injection molding process. Common injection molding defects include insufficient filling, air bubbles, cracks, warpage, and dimensional changes.

30 CC - 100 CC Tablet Bottles Visual Inspection System With Deep Learning Algorithm 0

The traditional artificial visual defect detection method is time-consuming and labor-intensive, and it will provide the possibility for efficient detection. As one of the most classic and most widely used structures in deep learning, deep convolutional neural network has been successfully applied to image detection in the past. and classification fields. It also provides a feasible method for industrial defect detection.

 

Image processing

A 3-megapixel industrial camera was used to collect and extract image samples of special plastic bottles, and preprocessed them. Because plastic bottles usually have color-like characteristics, the HSV color space conversion is used to extract color features on the sample image, and the Otsu threshold is used to segment the feature part, which is beneficial to neural network training, reducing the difficulty of network training and improving the speed.

30 CC - 100 CC Tablet Bottles Visual Inspection System With Deep Learning Algorithm 1

Label the samples. Manually mark the bottles for defects. Considering the high time cost and labor cost of manual labeling, it is recommended to use the intelligent labeling system for industrial quality inspection provided by the wizard labeling assistant. You only need to focus on labeling about 30% of the key pictures of the data set, and you can label the remaining pictures with one click. Easily obtain high-quality object detection models. The system can be used on different operating systems with cross-platform, multi-language and compatibility.

 

Algorithm Accuracy and Computation Rate

The detection of plastic medicine bottle defects mainly uses "convolutional neural network". One of the representative algorithms of deep learning). The schematic diagram of the convolutional neural network structure is as follows:

30 CC - 100 CC Tablet Bottles Visual Inspection System With Deep Learning Algorithm 2

For neural networks, as the network becomes larger and channels increase, the accuracy will increase, but it will saturate after reaching a certain level; when the accuracy decreases, it will suddenly fall into a situation where it cannot learn. For the requirements of higher accuracy and high speed of the model, while thinking about large neural networks, there are often many channels. Existing neural networks, such as GoogleNet, even have many networks with side branches; after ResNet, the number of network layers is also deepened; based on depth The convolutional neural network realizes the automatic detection of plastic drug surface defects, avoids the time-consuming and laborious manual visual inspection, reduces the labor cost, and greatly improves the inspection quality, improves the production efficiency, and reduces the false detection rate.

Contact Details
Anhui Keye Information & Technology Co., Ltd.

Contact Person: Amy Zheng

Tel: +86 17355154206/+86 186 5518 0887

Send your inquiry directly to us
Anhui Keye Information & Technology Co., Ltd.
168 TangKou Road,Taohua Industrial Park,Hefei,Anhui
Tel:86--17355154206
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