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Application of Hyperspectral Cameras in Plastic Detection: Detection Report on UV Adhesive Identification

Release time:2025-09-19

A UV hyperspectral camera (covering a wavelength range of 250–490 nm) was used to collect hyperspectral data of plastic film samples.


采集对象UV胶
镜头25mm
采集高度39cm
帧频25fps
积分时间40000us
像元合并2*2
位移台移动速度5mm/s
波段范围250-490nm
光源单波段紫外灯


The collected data underwent preprocessing procedures — including noise reduction and reflectance calculation — using hyperspectral data processing and analysis software.


图片1.png


光谱范围250-490nm
厂商高谱成像HHIT
型号HY-1230-01
光谱分辨率1.8nm
探测器CMOS
空间维有效像元数1280
波段数256
视场角(FOV)18.8@f=25mm
帧频200fps


高光谱数据:

图片2.png

The area within the red frame is the UV adhesive layer region. Based on the observation of original hyperspectral data:

Other materials (non-UV adhesive areas) exhibit ultraviolet (UV) light reflection at the 280 nm band.

The UV adhesive region absorbs UV light (no obvious UV reflection observed at the 280 nm band).


Threshold Segmentation


20250919153940472308.png


Threshold Segmentation


The threshold segmentation method was adopted: by distinguishing the acquisition intensity at the 280 nm band, the difference between UV adhesive and other materials can be clearly identified.


However, misidentification of non-UV adhesive materials occurred, which was attributed to three factors:

The camera did not collect integrating sphere data;

Uniformity correction was not performed;

The UV lamp had uneven illumination and insufficient intensity.


Conclusions


From the original spectral curves, it is possible to clearly distinguish whether a sample has been coated with UV adhesive.

The threshold segmentation algorithm enables relatively intuitive identification of UV adhesive.


Key Issues Identified


The UV light source has a limited spectral band range and a small illumination area.

Uniformity correction was not conducted before data collection.

The feasibility of identifying other types of adhesives (beyond UV adhesive) remains untested.

The impact of UV adhesive coating thickness on its light absorption performance is unclear.

Next Steps


Optimize the data collection environment: adopt a multi-band UV light source and expand the illumination area.

Perform uniformity correction prior to data collection.

Conduct identification tests using other types of adhesives to verify the method’s applicability.

Validate the impact of different coating thicknesses on absorption by testing samples with varying UV adhesive thicknesses.

Key Translation Notes




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