Recent advancements have shifted toward automated monitoring:

: Research published in late 2022 introduced semi-automatic annotation methods for pavement cracks, utilizing models like YOLOv5 to achieve high accuracy (86.79% F1-score) with fast inference times.

For your safety, I recommend avoiding "crack" download sites and instead accessing technical papers through reputable platforms like MDPI , Nature , or ResearchGate .

While there are many resources related to , it is important to be cautious of links claiming "free downloads" for software cracks, as these are often associated with malware or phishing risks.

: Unmanned Aerial Vehicles (drones) are now used with deep learning to detect cracks on runways with over 98% accuracy.