Visual Labeling Machine Industrial Camera Selection Guide: Principles, Applications, and Technological Trends

1、 The core principles and characteristics of industrial cameras

Industrial cameras are the core components of visual labeling machines, which convert optical signals into electrical signals through photosensitive elements (CCD or CMOS), and then generate digital images through analog-to-digital conversion to provide accurate data support for label positioning.

1. Core principles

• CCD cameraBy scanning the output signal line by line, it has high sensitivity and low noise, but high cost, suitable for high-precision scenes.

• CMOS cameraAdopting parallel signal processing, it has high integration and low power consumption, suitable for high-speed dynamic detection. In recent years, it has greatly improved in resolution and noise control.

2. Core Features

• High speed and high frame rateSupport shooting at hundreds to thousands of frames per second to meet the high-speed labeling requirements of production lines.

• Strong anti-interference abilityAdapting to harsh industrial environments such as high temperature, high humidity, and dust, the stability far exceeds that of ordinary cameras.

• Accurate imagingProgressive scanning technology ensures no ghosting in the image, with a resolution of up to 0.01mm/pixel and support for sub-pixel positioning.

2、 The application scope of industrial cameras in visual labeling

The selection of industrial cameras for visual labeling machines should be based on specific application scenarios:

1. General packaging industry

• demandLabel position accuracy ± 0.2mm, detection speed 200-500 pieces/minute.

• Recommended Configuration5 million pixel CMOS camera, global shutter, paired with C-interface lens, supports GigE transmission.

2. High precision electronics industry

• demandMiniature label (<1mm ²) adhesive, resistant to metal reflection interference.

• Recommended Configuration12 million pixel CCD camera, polarized light source, supports hardware triggering and fiber optic transmission.

3. Transparent/curved packaging

• demandResolve recognition bias caused by reflection or surface deformation of transparent films.

• Recommended Solution3D structured light camera, combined with point cloud data to calculate the optimal labeling angle.

3、 Key technical parameters for industrial camera selection

1. Resolution and field of view calculation

• formulaResolution ≥ field of view/accuracy requirement
  Example: To detect a 10mm object with an accuracy of 0.02mm, a resolution of ≥ 500 pixels (10/0.02) is required.

2. Frame rate and exposure time

• Dynamic production lineThe frame rate should be ≥ production line speed (pieces/second) × 1.2, and the exposure time should be ≤ 1/(2 × motion speed).

3. Interface and Transmission

• High speed scenePriority should be given to CameraLink or CoaXPress interfaces, which support transmission of 10Gbps or more.

• Long distance wiringThe GigE interface supports 100 meter transmission and is suitable for distributed production lines.

4. Environmental adaptability

• high temperature environmentChoose an industrial grade camera with a working temperature range of -10 ℃~70 ℃, such as the Haibosen HPS-HSC2K.

• Dustproof and WaterproofIP67 protection level, suitable for humid environments such as food and chemical.

4、 Technological Trends and Innovation Directions

1. Intelligent integration

• AI algorithm embeddingSupport localized defect detection and adaptive parameter adjustment to reduce dependence on PC.

• self learning systemOptimize matching templates through historical data to improve changeover efficiency.

2. 3D vision technology

• Structured light/ToF schemeRealize surface labeling accuracy of ± 0.05mm, suitable for cosmetic bottles and irregular packaging.

3. Ultra high speed imaging

• Global shutter high frame rateHaibosen HPS-HSC2K support 1490fps@2048 1080 x 1080, meeting the requirements of ultra high speed production lines.

4. edge computing optimization

• FPGA/ASIC accelerationIntegrate image processing algorithms into the camera end, reducing latency to microsecond level.

5、 Selection suggestions and maintenance points

1. Selection process

1. Clarify requirementsAccuracy, speed, environmental conditions (such as lighting, vibration).

2. Hardware MatchingResolution ≥ theoretical calculation value, interface compatible with existing systems.

3. Verification TestVerify imaging stability and algorithm compatibility through actual production line samples.

2. Maintenance and upkeep

• Daily cleaningWipe the lens with a dust-free cloth and pure alcohol to avoid finger contact with the optical surface.

• periodic calibrationPerform nine point calibration every quarter to ensure consistency between mechanical and visual coordinates.

6、 Future prospects

With the deepening of Industry 4.0, industrial cameras will develop towards multimodal perception (integrating 3D, infrared, and spectral data) and cloud collaboration (remote operation and maintenance, online model updates). The intelligent upgrade of visual labeling machines will promote the greater value of industrial cameras in flexible manufacturing and customized production.