Machine Vision in industrial applications
Machine Vision for Robotics
Object Detection Methods for Robots
Machine Vision Robots for Semiconductors
Machine vision algorithms are also used to operate robots in the high-precision semiconductor industry. Robots perform these intelligent tasks supported by machine vision software: several methods are currently used to detect defects and classify them, with important economies in both time and money. Robots in the semiconductor industry too can take advantage of deep learning techniques: their main benefit is the dramatic improvement in the defect classification abilities of the robotic devices.
Robots using Machine Vision in Agriculture
Image processing for Precision Agriculture
Precision agriculture describes a collection of engineering methods aimed at providing a rationale and operative management plan for farms, forests, vineyards, and other agricultural endeavors,
Automatic Object Recognition Algorithm
Automatic object recognition is a highly challenging task in computer vision. These challenges can be caused by many factors reducing the recognition rate of a
Biomedical image processing and algorithms
Biomedical image processing (or more precisely, biomedical image and signal processing) consists in sophisticated analytical methods and algorithms, ubiquitously found integrated into diagnostic equipment and
Biometric Detection and Measurement
Eyeglasses have been with us since the 13th century, although mass production and affordability to commoner (aside from clerics, scholars and wealthy people) has begun
Video tracking of animal behavior
Animals display a diverse set of behavior, not always well interpreted by humans: some of these behavioral patterns disclose animals’ intensions, needs, and distresses. Thousands