Home » Blog » How can machine vision achieve precise grasping of depth and aperture?
Home » Blog » How can machine vision achieve precise grasping of depth and aperture?

How can machine vision achieve precise grasping of depth and aperture?

Views: 0     Author: Site Editor     Publish Time: 2025-11-25      Origin: Site

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The Zhixiang Shijue technical team conducted a test to detect the thread depth and bore diameter of the inner end of a steel pipe for a manufacturing company. This test addressed challenging scenarios such as deep cavity structures, difficulty in light penetration, and low contrast at the thread edges. By deploying a smart camera and a customized optical solution, the team solved imaging problems that are difficult to achieve with conventional testing methods.

The difficulty in detection requires high precision

Visual inspection is a process that uses cameras, sensors, and software to automatically inspect, measure, and analyze products during production. Machine vision can replace manual inspection in environments unsuitable for it or where human vision alone is insufficient.

Machine vision achieves high-speed, high-precision quality control through image capture during inspection and makes real-time decisions based on expected results. The steel pipe sample provided by the customer has a deep-hole structure with stringent internal thread precision requirements, including:

Thread depth measurement

Thread diameter and roundness inspection

Thread integrity and edge sharpness requirements

Due to the narrow internal space, strong reflections, and difficulty in uniformly illuminating the thread area, high demands are placed on the imaging equipment and optical design.

Machine vision

Professional optical solutions: smart camera + industrial lens + custom light source

To meet customer needs, Zhixiang Shijue's technical engineers, considering the product's structural characteristics, built the following testing system:

Intelligent Camera: for real-time imaging and edge recognition

High-Resolution Industrial Lens: to improve the clarity of details in deep cavities

Customized Light Source Solution: focusing on optimizing the incident angle, compensating for deep hole shadows, and enhancing thread contrast

Light Source Controller: used to adjust brightness, triggering mode, and flash parameters to make the system's imaging more stable

Through repeated testing, the technical team fine-tuned the focal length, adjusted the light source's incident angle, and brightness mode to ensure that every turn of the thread was clearly imaged, with a clear contrast between light and dark at the hole edges, effectively avoiding common problems such as shadow obstruction and reflection interference in deep holes.

Smart camera imaging

The test results are clear and reliable

After multiple rounds of visual equipment position adjustments and imaging verification, the system successfully achieved:

Precise measurement of thread depth

Stable identification of hole diameter edges

Effective judgment of thread integrity

High image clarity and sharp feature edges, meeting the customer's requirements for subsequent automated inspection solutions. The customer highly praised the test results and technical cooperation, and expressed their intention to continue collaborating with Zhixiang Vision to build a formal online inspection system.

vision inspection technology

Zhixiang Shijue has consistently focused on the research and development and verification of industrial cameras, lenses, light sources, and vision inspection solutions. Leveraging extensive testing experience and practical applications, we have provided high-quality imaging and inspection support to numerous industries, including automotive parts, metal processing, electronics manufacturing, and standard hardware components.

In the future, we will continue to deepen our expertise in vision inspection technology, bringing more advanced and efficient intelligent inspection solutions to manufacturing enterprises, helping customers achieve quality upgrades and improved production efficiency.


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