Why are industrial lenses blurred ?

Image blur in industrial lens is a complex problem, which may be caused by many factors. The following is a detailed analysis of the causes of fuzzy industrial lens imaging:
First, the lens itself

1. Lens cleanliness

Dust and stains: Industrial lenses can accumulate dust, fingerprints or other stains during use, which can block light from passing through and cause blurred images. Especially when the detection environment is closed but there is still dust, the lens surface is easy to get dirty.

• Solution: Periodically use a dedicated lens cleaning cloth to gently wipe the lens surface to remove all impurities. Use an antistatic cloth to avoid scratches or static electricity on the lens.

2. Fog inside the lens

• Cause: There may be fog or condensation inside the lens, especially in environments with large temperature changes.

• Solution: This situation needs to be handed over to professionals for disassembly and inspection, it is recommended to return to the factory for maintenance.

3. The lens is damaged

Improper operation: Improper operation or collision may cause damage to the internal structure of the lens and affect the quality of the image.

• Solution: If the lens is damaged, it is usually necessary to return to the factory for repair or replacement of the lens.

4. Lens aberration

• Spherical aberration: The solid color cone light sent to the optical system from a point on the spindle cannot cross at the same position on the spindle after being mapped, forming diffuse light spots, resulting in blurred images.

• Comets: Light from an off-axis object point outside the main axis is sent to the optical system, which does not produce a clear point after mapping, but forms a cometary point with a bright tail.

• Astigmatism: An off-axis object point outside the spindle sends a slash solid color cone light to the optical system, which cannot be mapped to establish a clear image point.

• Field curve: After the plane object perpendicular to the main axis is mapped by the optical system, the optimal image plane is a curved surface, resulting in inconsistent image clarity in the center and around the picture.

• Distortion: The straight line outside the spindle in the subject plane becomes a curve after imaging by the optical system, affecting the geometry of the image.

• Color difference: light of different wavelengths cannot converge to a point after passing through the optical system, forming a color image spot.

• Solution: Choose high-quality industrial lenses to reduce the impact of aberrations on image quality. At the same time, select the right lens type and parameters according to the specific application requirements.

Second, the light source factor

1. The light source is not bright enough

• Cause: Insufficient brightness or aging of the light source can lead to dim and fuzzy images. Especially in the evening, night or low light environment with insufficient illumination, it is difficult for the lens to get enough light.

• Solution: Check whether the light source is working properly and replace the bulb or LED module if necessary. Maintain light sources regularly to ensure they are in top condition. For low light environments such as night monitoring, large aperture lenses can be used to improve light transmission.

2. Light source pollution

Dust and oil: The end face or interior of the light source is affected by dust, oil and other pollutants, which will reduce the efficiency of light transmission.

• Solution: Use special cleaning tools and solvents to clean the light source end face and keep it clean and pollution-free.

3. Imaging system factors

1. Focus on the problem

• Out-of-focus blur: Out-of-focus blur occurs when the lens is out of focus or there are objects of different depths in the imaging area. Especially in a monitoring system, the focus may change when the shooting orientation or the monitoring object moves.

• Solution: Adjust the focal length and position of the lens to ensure that the subject is within the lens depth of field. For the case of the automatic focusing lens used in the all-in-one machine, it is necessary to ensure that the production process is excellent to avoid the deviation of the automatic focusing.

2. Signal transmission problems

• Analog system: In the analog monitoring system, after the long distance transmission of the video signal, the resistance, shielding, impedance matching and other problems of the transmission cable will cause signal attenuation, resulting in poor image quality and blur.

• Digital system: In the digital video surveillance system, although the use of network transmission and digital coding can more effectively avoid image damage caused by signal attenuation, the video signal A/D conversion, video coding compression and other links will still lead to the loss of image information.

• Solution: Optimize signal transmission path and cable quality to reduce signal attenuation. For digital system, select the appropriate video compression coding algorithm and parameters to reduce the loss of image information.

3. The image sensor is faulty

• Damage: The image sensor can be damaged due to mechanical shock or static electricity, resulting in blurred images.

• Parameter setting errors: Improper Settings of image sensor parameters (such as exposure time, gain, etc.) can also affect image quality.

• Solution: Check the working status of the image sensor regularly, and replace or repair it in time if it is damaged. Reset sensor parameters according to the actual situation to ensure the best imaging quality.

Fourth, environmental factors

1. Ambient light interference

• External strong light source: Direct exposure of an external strong light source to the lens will cause glare or reflection, resulting in blurred images.

• Solution: Try to avoid strong light sources directly into the lens, or use a mask to reduce the influence of external light.

2. Temperature change

Extreme temperatures: Operating at extreme temperatures may affect the performance and image quality of the lens.

• Solution: When used in extreme temperature environments, appropriate measures should be taken to protect the lens and imaging system, such as installing temperature control equipment.

3. Electromagnetic interference

Interference source: When there is a strong electromagnetic interference source or electromagnetic radiation near the TV monitoring system, it will cause video signal interference and image blur.

• Solution: Keep away from electromagnetic interference sources or take shielding measures to reduce the impact of electromagnetic interference.

V. Other factors

1. The lens does not match the camera

• Resolution and lens sharpness: HD cameras vary in resolution and have different lens requirements. If the clarity of the lens does not match that of the camera, the picture quality will not achieve the desired effect.

• Solution: Select the right lens type and parameters based on the camera's resolution and imaging needs.

2. Vandalism

Malicious interference: Vandalism or malicious interference can also cause the lens to blur.

• Solution: Strengthen the security protection measures of the monitoring system to prevent human damage and interference.

To sum up, industrial lens imaging blur may be caused by a variety of factors. In practical applications, it is necessary to investigate and solve according to the specific situation. The imaging quality of industrial lenses can be effectively improved through regular inspection and maintenance of lenses, optimization of imaging systems and environmental conditions, and selection of appropriate lens types and parameters.