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    All Rights Reserved@Hangzhou Hyperspectral Imaging Technology Co., Ltd. 浙ICP備19040412號(hào)-2 網(wǎng)站地圖
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    News
    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.


    采集對(duì)象UV膠
    鏡頭25mm
    采集高度39cm
    幀頻25fps
    積分時(shí)間40000us
    像元合并2*2
    位移臺(tái)移動(dòng)速度5mm/s
    波段范圍250-490nm
    光源單波段紫外燈


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


    圖片1.png


    光譜范圍250-490nm
    廠商高譜成像HHIT
    型號(hào)HY-1230-01
    光譜分辨率1.8nm
    探測(cè)器CMOS
    空間維有效像元數(shù)1280
    波段數(shù)256
    視場(chǎng)角(FOV)18.8@f=25mm
    幀頻200fps


    高光譜數(shù)據(jù):

    圖片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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