SiRON K516-1 Series AI Smart Camera

About selection

300,000 Pixels                                                                                                                     1.3 Megapixels

Accessories

Dimension

8P Power & IO Cable Description

Specifications (AI Smart Camera)

Specification parameters (Touch Panel)

Registration Reference

Only register OK products and NG products, and the system can automatically adjust to the ideal settings. Even if there are changes in workpieces and the environment, you only need to register new workpieces additionally. The system will automatically add detection conditions, without complicated configuration or installation adjustments.

Position Correction: Correct the product position by contour matching. High-speed Position Correction: Correct the product in X and Y directions by searching for target black-and-white features.

Product details

Structure Drawing

Detection Range Characteristic Diagram

Algorithm Detection Tool

Standard Mode: Equipped with a variety of detection tools to easily meet various application requirements.

Contour Matching                                                                                             Grayscale Area

Color Area                                                                                                              Width Measurement

Template Learning                                                                                           Feature Presence/Absence

Blob Counting                                                                                                      Grayscale Comparison

Color Presence/Absence                                                                               Character Recognition (OCR)

Angle Positioning                                                                                             Target Positioning

Pitch                                                   Wire Sequence Inspection                                   AI Learning

Application Cases

Contour Matching: Identify by shape difference

Simply enclose the target to automatically extract the contour. It can handle brightness fluctuations and individual surface condition differences that are difficult for normalized correlation methods.

Color Area: Identify by color area size

Based on the registered color area of qualified products, the consistency with the detected target is calculated. Simply click the target color in the image to complete color extraction with easy operation.

Feature Presence/Absence: Identify by edge pixel count

It can identify targets with unfixed shapes or differences in surface conditions. Edge refers to the boundary points of light and dark changes.

Grayscale Area: Identification by specified brightness level

Take the brightness area of registered good products as the benchmark to calculate the consistency with the detection target. It is suitable for identification based on gloss difference and surface processing difference.

Width Measurement: Identification by width between edges

It can detect warping or width of the target object. The actual dimension can be displayed by using the scaling function.

Pitch: Identification by pitch difference

It can detect not only pitch but also pin width. The actual dimension can be displayed by using the scaling function.

Angle Positioning: Identify by angular misalignment and offset

It can identify the angular misalignment and offset of the target within the specified range.

Blob Counting: Identify by the number of blobs on the target

Based on the registered blob quantity of qualified products, it checks whether the blob number of the detected target is consistent.

Character Recognition: Identify by differences in characters, numbers and dates

Device Installation

Fix the device with M3 screws via the mounting bracket and other mechanical parts. It supports vertical and horizontal installation, and the mounting method can be selected according to actual application scenarios.

Connection Schematic Diagram