Computer Vision Inspection
Computer Vision Inspection - Related Videos
05:02
Observation and Inspection
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2023
Source: Jaideep S. Talwalkar, MD, Internal Medicine and Pediatrics, Yale School of Medicine, New Haven, CT Observation and inspection is fundamental to physical examination and begins at the first point of contact with a patient. While observation and inspection are often used interchangeably, observation is a general term that refers to the careful use of one's senses to gain information. Inspection is an act limited to what one can observe visually, and when referring to physical examination,...
09:29
A Standardized Obstacle Course for Assessment of Visual Function in Ultra Low Vision and Artificial Vision
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Cited by 27 •
2014
We describe an indoor, portable, standardized course that can be used to evaluate obstacle avoidance in persons who have ultralow vision. The course is relatively inexpensive, simple to administer, and has been shown to be reliable and reproducible.
09:59
Respiratory Exam I: Inspection and Palpation
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2023
Source: Suneel Dhand, MD, Attending Physician, Internal Medicine, Beth Israel Deaconess Medical Center Disorders of the respiratory system with a chief complaint of shortness of breath are among the most common reasons for both outpatient and inpatient evaluation. The most obvious visible clue to a respiratory problem will be whether the patient is displaying any signs of respiratory distress, such as fast respiratory rate and/or cyanosis. In a clinical situation, this will always require...
07:39
Cardiac Exam I: Inspection and Palpation
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2023
Source: Suneel Dhand, MD, Attending Physician, Internal Medicine, Beth Israel Deaconess Medical Center The cardiac assessment is one of the core examinations performed by almost every physician whenever encountering a patient. Disorders of the cardiac system are among the most common reasons for hospital admission, with conditions ranging from myocardial infarction to congestive heart failure. Learning a complete and thorough cardiac examination is therefore crucial for any practicing physician.
08:25
A Battery of Quantitative Binocular Vision Tests for Adults: Testing Protocols
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2026
Here we present a comprehensive battery of tasks to assess binocular vision. Tasks include peripheral stereoacuity and motion-in-depth, which are not assessed by current clinical tests. Incorporating these tasks will provide an in-depth assessment of an individual’s binocularity.
FAQs
The system processes camera-captured images, enhances relevant visual information, and extracts features such as shape, color, texture, or dimensions. It then compares those features with predefined acceptance criteria or evaluates them using trained models. This sequence converts raw visual data into classifications or measurements that can support consistent quality decisions across components, assemblies, and production activities.
Image enhancement helps make relevant visual characteristics easier for algorithms to evaluate, while feature extraction converts an image into measurable information. Shape, color, texture, and dimensions can reveal whether an object matches expected requirements or contains a defect. Selecting useful features therefore links the captured visual evidence to repeatable assessment rather than relying on an unstructured image.
Predefined criteria assess extracted features against established requirements, such as expected dimensions or visual characteristics. Trained models provide another comparison route by evaluating images or features learned from examples. Both approaches support classification, but the source material distinguishes explicit criteria from model-based evaluation. The appropriate comparison determines how visual evidence is translated into an inspection outcome.
A typical workflow begins when a camera captures visual data from a component, assembly, surface, or production line. Image-processing and computer-vision algorithms then enhance the data and extract relevant features. Finally, the system compares those features with predefined criteria or trained models, producing information about defects, alignment errors, dimensional variation, or other quality conditions.
Engineering applications include examining manufactured components, assemblies, surfaces, and production lines. The system can identify defects, alignment errors, and dimensional variation while supporting quality assessment during production. Because it can operate consistently and contribute to real-time monitoring, it is useful where repeated visual checks and timely recognition of manufacturing problems are important.
Inspection results can do more than separate acceptable and unacceptable items. Repeated measurements and classifications provide data that support real-time monitoring and process control, while patterns in the results can help diagnose equipment or manufacturing problems. This data-oriented role extends the technique from final quality checking toward understanding variation and responding to production issues.