Hardware parts error and omission inspection, machine vision realized?

In the field of modern industrial manufacturing, the appearance and size of precision parts have extremely high requirements, aerospace, aviation, auto parts, electronic products and other fields, the performance of parts problems will affect the normal operation and use of functions.

In recent years, the rapid development of machine vision inspection technology has improved advanced science and technology for industrial automation production to effectively ensure product quality, machine vision inspection to help the production line achieve online real-time detection, measurement and automatic identification functions to improve efficiency and reduce factory costs, so as to maximize production benefits.

Therefore, machine vision inspection technology is widely used in the size detection of hardware accessories, surface defect detection, character recognition detection and so on.

Detection types include: crack, head text/shape, length, diameter, screw and nut with or without teeth, inner and outer diameter of the screw, tooth distance, tooth Angle, bottom shape, bending, height/width/thickness of multiple segments, chamfer/Angle, number of teeth, surface characteristics, surface defects, marks, surface defects, etc.

Size detection: Measurement and inspection of the length, width, diameter, hole distance, inner and outer diameter, tooth distance and other dimensions of hardware accessories.

Surface defect detection: scratches, scratches, pits, defects, cracks and other defects on the surface of hardware accessories.

Detection content

Test product

Testing requirements: Dimensional testing of products with size length 8mm* width 8mm* height 25mm, in addition to defects such as bruises and poor plating of inner holes.

Detection efficiency 200 pieces per minute.

Testing equipment

Equipment composition

Visual inspection software: SIPOTEK

Industrial computer: Custom made by SIPOTEK

Display: PHILIPS 19 "LCD display

Industrial cameras: SONY Industrial cameras

Camera adjustment module: customized by SIPOTEK

Industrial lens: FA HD optical industrial lens

Light source: Custom optical adaptive light source

Detection platform: professional optical glass platform

Servo motor: PANASONIC ·PANASONIC

Control system: customized by SIPOTEK

PLC Motion Collaboration: PANASONIC ·PANASONIC

Detection process

Image acquisition: The use of cameras, cameras and other equipment to collect image data, as input data for processing and analysis.

Image preprocessing: The acquired image data is preprocessed, including denoising, grayscale, scale transformation and other operations, so that the subsequent processing is more accurate and efficient.

Feature extraction: The features in the image, such as edges, corners, textures, etc. are extracted by computer vision algorithms for subsequent target detection and recognition.

Object detection and recognition: Using machine learning, deep learning and other technologies to analyze the extracted features to identify targets, objects or specific patterns in the image.

Target classification or measurement: The classification, measurement or other forms of analysis of the identified target, such as quantitative statistics, dimensional measurement, quality assessment and other operations.

Decision-making and feedback: Make decisions based on the analysis results, which can be automated control, alarm warning, quality determination and other operations, and feedback the results to the user or the system.

Detection effect

Large hole damage detection

Poor electroplating detection

Good product OK map