Sökning: "Surface defect detection"

Visar resultat 1 - 5 av 7 uppsatser innehållade orden Surface defect detection.

  1. 1. Data Augmentations for Improving Vision-Based Damage Detection : in Land Transport Infrastructure

    Master-uppsats, KTH/Lantmäteri – fastighetsvetenskap och geodesi

    Författare :Punnawat Siripatthiti; [2023]
    Nyckelord :Computer Vision; Data Augmentation; Object Detection; Crack Detection; Road Damage Detection; Sleeper Defect Detection; datorseende; dataökning; objektdetektering; sprickdetektering; vägbeläggning; järnvägsslipers;

    Sammanfattning : Crack, a typical term most people know, is a common form of distress or damage in road pavements and railway sleepers. It poses significant challenges to their structural integrity, safety, and longevity. Over the years, researchers have developed various data-driven technologies for image-based crack detection in road and sleeper applications. LÄS MER

  3. 2. Application of Deep-learning Method to Surface Anomaly Detection

    Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Författare :Jiahui Le; [2021]
    Nyckelord :Image processing; Deep learning; Mask R-CNN; Surface anomaly detection; Surface defect detection;

    Sammanfattning : In traditional industrial manufacturing, due to the limitations of science and technology, manual inspection methods are still used to detect product surface defects. This method is slow and inefficient due to manual limitations and backward technology. LÄS MER

  4. 3. Inspecting product quality with computer vision techniques : Comparing traditional image processingmethodswith deep learning methodson small datasets in finding surface defects

    Kandidat-uppsats,

    Författare :Jim Hult; Pontus Pihl; [2021]
    Nyckelord :Visual inspection; Edge detection; Template matching; Machine Learning; Transfer learning; Image augmentation; defect detection;

    Sammanfattning : Quality control is an important part of any production line. It can be done manually but is most efficient if automated. Inspecting qualitycan include many different processes but this thesisisfocusedon the visual inspection for cracks and scratches. LÄS MER

  5. 4. Characterization of graphene-based sensors for forensic applications : Evaluating suitability of CVD graphene-based resistive sensor for detection of amphetamine

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Ülle-Linda Talts; [2019]
    Nyckelord :Sensor systems; Chemical sensors; Nanosensors; Drug screening; Nanomaterials; Sensorsystem; Kemiska sensorer; Nanosensorer; Drug screening; Nanomaterial;

    Sammanfattning : Recent improvements in sensor technology and applications can be partly attributed to the advancements in microand nanoscale fabrication processes and discovery of novel materials. The emergence of reliable and inexpensive methods of production of monolayer materials, such as graphene, has revealed the advantageous electronic properties which when utilized in sensory elements can significantly enhance response to the input signal. LÄS MER

  7. 5. Förekomsten av mörkt, fast och torrt (DFD) nötkött i Sverige : faktorer som påverkar uppkomsten av kvalitetsdefekten

    Kandidat-uppsats, SLU/Department of Molecular Sciences

    Författare :Sanna Pasanen; [2018]
    Nyckelord :slakt; köttindustri; stressfaktorer; storboskap; köttkvalitet; nötkreatur; djurskydd;

    Sammanfattning : Denna studie behandlar kvalitetsdefekten Dark, firm and dry (DFD) i nötkött. Det är ett tillstånd som uppkommer i slaktkroppen post mortem och gör köttet mörkt, fast och torrt. Defekten är ett resultat av en kraftig förbrukning av glykogen i skelettmuskulaturen innan slakt som en respons på kronisk eller långtidsstress. LÄS MER