Tag: Aiex

  • Computer vision can help us with agriculture: A case study of defects in fruits

    Computer vision can help us with agriculture: A case study of defects in fruits

    The growing world population constantly pushes the demand for agricultural products. More production means more efficient methods should be employed for product quality control, and the process should improve in accuracy and time. Artificial intelligence (AI), especially CV, is playing a critical role in replacing skilled staff with machines for quality inspection and classification.

  • No need to be afraid of intelligent machines! They keep you safe from fire

    No need to be afraid of intelligent machines! They keep you safe from fire

    In many industries, particularly oil and gas industries, fire accidents often lead to the loss of products, equipment damage, or worker injuries. Detecting fire with cameras and human operators isn’t effective. Therefore, engineers and industries are considering intelligent machines to detect fire incidents.

  • Identifying carpet defects

    Identifying carpet defects

    Computer Vision technology is fast becoming a solution to various industrial problems, among which are QC and defect detection. This article will explain how AI computer models help detect carpet defects using image segmentation.

  • Railway fastener maintenance is now more accurate and simpler than ever!

    Railway fastener maintenance is now more accurate and simpler than ever!

    Railway fasteners should be routinely monitored to guarantee the safety of rail lines. The monitoring process is boring and time-consuming for humans and at the same time plagued with human error. But now computer vision algorithms have been developed that can rapidly and automatically handle the inspection of railway lines.

  • How AI revolutionized the visual inspection of metal surfaces

    How AI revolutionized the visual inspection of metal surfaces

    In the metal industry, controlling for defects and maintaining quality are essential and challenging tasks. Humans are slow at these tasks and not quite accurate either. But an intelligent machine can automatically and efficiently handle defect detection and data quantification.