20 Bottles/Min Round Bottle, Bottle Labeling, Inkjet Coding, Bottle
Cap Visual Inspection System
1. Introduction
This system uses machine vision to detect circumferential bottle
labels, including detection of QR codes, barcode recognition, code
identification, labeling quality (such as: crooked, warped, whether
there is a label, etc.), and detects bottle labels Products with
substandard quality are recorded and subsequently eliminated. This
system also includes the detection of the skew of the bottle cap
relative to the bottle body, and visually guides the rejection of
bottle caps that are obviously skewed. Bottle caps that are
obviously far away from the bottle body are also detected, and
bottles that are obviously not tightly tightened are rejected.
2. Technical Parameters
| 1 | Production Capacity | 20 bottles/minute *Actual production capacity varies depending on product size,
packaging material, etc. |
| 2 | Applicable Bottle Type | Φ60mm height 230mm |
| 3 | Bottle Cap Specifications | Φ30mm |
| 4 | Power Supply | 220V 50Hz |
| 5 | Power | 0.6KW |
| 6 | Dimensions | 1200*1000*1300mm (L*W*H) |
3. Hardware Configuration
3.1 4 200W color cameras, 1200W grayscale camera, 30 frame
acquisition speed, GigE camera communication method.
3.2 1 set of industrial camera vision software with development and
application authorization.
3.3 5 industrial Ethernet cables.
3.4 200W5 pixel resolution industrial camera lenses.
3.5 1 set of light source controller and 5 sets of light sources.
4. Software Configuration
4.1 The testing project contains all the testing requirements.
4.2 Image processing software development and application licenses
are installed on customer-specified industrial computers.
4.3 The image processing software system developed based on
high-level languages has multi-job functions. When a product
needs to be replaced, the customer only needs to modify the product
model and the system automatically switches without the need for
secondary development.
4.4 The detection cycle of a single product is less than 0.5s.
5. Vision Algorithm Process
6. Equipment Advantages
6.1 Four cameras are arranged at 90° intervals to ensure stable and
complete 360° imaging of the bottle label.
6.2 The arched light source specially designed for cylindrical
labels can improve the consistency of imaging brightness.
6.3 Synchronous triggering of 4 light sources, asynchronous strobe
and asynchronous image acquisition, avoiding the complexity and
instability of asynchronous triggering logic, while reducing mutual
interference between light sources and improving imaging quality.
6.4 The camera and the light source are installed coaxially and are
integrally installed on a height-adjustable adjustment frame. The
adjustment frame features laser markings or rulers to facilitate
precise adjustment of the height of the vision system for bottles
of different heights.
