| Weight | 270 g |
| Housing material | Aluminum |
| Optical cover material | Glass |
2D/ 3D-Profile sensors
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| Weight | 270 g |
| Housing material | Aluminum |
| Optical cover material | Glass |
| Weight | 450 g |
| Optical cover material | PMMA |
| Housing material | Zinc die casting |
| Weight | 270 g |
| Housing material | Aluminum |
| Optical cover material | Glass |
| Weight | 270 g |
| Housing material | Aluminum |
| Optical cover material | Glass |
| Weight | 450 g |
| Optical cover material | PMMA |
| Housing material | Zinc die casting |
| Weight | 270 g |
| Housing material | Aluminum |
| Optical cover material | Glass |
| Weight | 270 g |
| Housing material | Aluminum |
| Optical cover material | Glass |
| Weight | 270 g |
| Housing material | Aluminum |
| Optical cover material | Glass |
| Weight | 270 g |
| Housing material | Aluminum |
| Optical cover material | Glass |
| Applications | Mechanical engineering & Plant construction Metal industry Semiconductor industry |
| Immunity to ambient light | 5,000 lx |
| Repeatability accuracy Z-axis (height) | 1 µm |
| Repeatability accuracy X-axis (width) | 5 µm |
| Applications | Mechanical engineering & Plant construction Metal industry Semiconductor industry |
| Immunity to ambient light | 5,000 lx |
| Repeatability accuracy Z-axis (height) | 2 µm |
| Repeatability accuracy X-axis (width) | 20 µm |
| Applications | Mechanical engineering & Plant construction Metal industry Semiconductor industry |
| Immunity to ambient light | 5,000 lx |
| Repeatability accuracy Z-axis (height) | 1 µm |
| Repeatability accuracy X-axis (width) | 10 µm |
| Applications | Mechanical engineering & Plant construction Metal industry Semiconductor industry |
| Immunity to ambient light | 5,000 lx |
| Repeatability accuracy Z-axis (height) | 0.2 µm |
| Repeatability accuracy X-axis (width) | 2.5 µm |
| Applications | Mechanical engineering & Plant construction Metal industry Semiconductor industry |
| Immunity to ambient light | 10,000 lx |
| Repeatability accuracy Z-axis (height) | 1 µm |
| Repeatability accuracy X-axis (width) | 20 µm |
| Applications | Mechanical engineering & Plant construction Metal industry Semiconductor industry |
| Immunity to ambient light | 10,000 lx |
| Repeatability accuracy Z-axis (height) | 5 µm |
| Repeatability accuracy X-axis (width) | 60 µm |
| Applications | Mechanical engineering & Plant construction Metal industry Semiconductor industry |
| Immunity to ambient light | 10,000 lx |
| Repeatability accuracy Z-axis (height) | 0.5 µm |
| Repeatability accuracy X-axis (width) | 10 µm |
| Applications | Mechanical engineering & Plant construction Metal industry Semiconductor industry |
| Immunity to ambient light | 10,000 lx |
| Repeatability accuracy Z-axis (height) | 0.4 µm |
| Repeatability accuracy X-axis (width) | 5 µm |
| Applications | Mechanical engineering & Plant construction Metal industry Semiconductor industry |
| Immunity to ambient light | 10,000 lx |
| Repeatability accuracy Z-axis (height) | 0.2 µm |
| Repeatability accuracy X-axis (width) | 2.5 µm |
| Applications | Mechanical engineering & Plant construction Metal industry Semiconductor industry |
| Immunity to ambient light | 5,000 lx |
| Repeatability accuracy Z-axis (height) | 0.2 µm |
| Repeatability accuracy X-axis (width) | 2.5 µm |
2D/3D profilers are optical sensors that detect the surface of an object in a specific area and create a three-dimensional profile of the object. They are often used in industry to check the quality of surfaces, dimensions and shapes.
2D profile sensors create a two-dimensional image of the surface of an object. They use a light source to create a reflection from the surface of the object, which is then detected by a receiver unit. The received signal is processed by an electronic circuit to produce a 2D image of the object.
3D profile sensors produce a three-dimensional image of the surface of an object. They use a light source that projects a structured light pattern onto the surface of the object. The reflected light pattern is detected by a receiver unit which detects a series of points on the surface of the object. The detected signal is processed by electronic circuitry to produce a three-dimensional image of the object.
Modern 2D/3D profile sensors can also be combined with other sensors, such as accelerometers or angle sensors, to provide even more accurate measurements. They are used in a wide range of applications including automotive, aerospace, robotics and medical.
2D/3D profile sensors provide an efficient and accurate way of measuring the surface of an object in a given area and can be used in many applications.
2D profile sensors create a two-dimensional image of the surface of an object. They use a light source to create a reflection from the surface of the object, which is then detected by a receiver unit. The received signal is processed by an electronic circuit to produce a 2D image of the object.
3D profile sensors produce a three-dimensional image of the surface of an object. They use a light source that projects a structured light pattern onto the surface of the object. The reflected light pattern is detected by a receiver unit which detects a series of points on the surface of the object. The detected signal is processed by electronic circuitry to produce a three-dimensional image of the object.
Modern 2D/3D profile sensors can also be combined with other sensors, such as accelerometers or angle sensors, to provide even more accurate measurements. They are used in a wide range of applications including automotive, aerospace, robotics and medical.
2D/3D profile sensors provide an efficient and accurate way of measuring the surface of an object in a given area and can be used in many applications.
What are the basic differences between 2D and 3D profile sensors?
The basic differences between 2D and 3D profile sensors are:
1. Detection range: A 2D profile sensor only captures information in one plane, while a 3D profile sensor captures information in all three dimensions.
2. Image resolution: A 2D profile sensor provides a two-dimensional representation of a surface, while a 3D profile sensor provides a three-dimensional representation that also contains the height information.
3. Accuracy: A 3D profile sensor can generally offer greater accuracy when measuring distances, heights or volumes than a 2D profile sensor.
4. Areas of application: 2D profile sensors are mainly suitable for applications where only one surface needs to be detected, such as measuring width or length. 3D profile sensors, on the other hand, are used in applications where height and volume information is also required, e.g. when measuring the unevenness, contours or volumes of objects.
5. Complexity: 3D profile sensors are generally more complex and require more precise calibration than 2D profile sensors, as they have to capture and process more information.
6. Costs: 3D profile sensors are generally more expensive than 2D profile sensors due to their greater complexity and accuracy.
Overall, 3D profile sensors offer enhanced functionality and accuracy compared to 2D profile sensors, but are also more expensive and more complex to use. The choice between a 2D and 3D profile sensor depends on the specific requirements of the application.
1. Detection range: A 2D profile sensor only captures information in one plane, while a 3D profile sensor captures information in all three dimensions.
2. Image resolution: A 2D profile sensor provides a two-dimensional representation of a surface, while a 3D profile sensor provides a three-dimensional representation that also contains the height information.
3. Accuracy: A 3D profile sensor can generally offer greater accuracy when measuring distances, heights or volumes than a 2D profile sensor.
4. Areas of application: 2D profile sensors are mainly suitable for applications where only one surface needs to be detected, such as measuring width or length. 3D profile sensors, on the other hand, are used in applications where height and volume information is also required, e.g. when measuring the unevenness, contours or volumes of objects.
5. Complexity: 3D profile sensors are generally more complex and require more precise calibration than 2D profile sensors, as they have to capture and process more information.
6. Costs: 3D profile sensors are generally more expensive than 2D profile sensors due to their greater complexity and accuracy.
Overall, 3D profile sensors offer enhanced functionality and accuracy compared to 2D profile sensors, but are also more expensive and more complex to use. The choice between a 2D and 3D profile sensor depends on the specific requirements of the application.
How do 2D profile sensors work and what applications do they have?
2D profile sensors are image processing systems that are used to detect profiles or contours in a two-dimensional plane. They capture the height information of an object along a line and generate an image that represents the profile information of the object.
The functionality of a 2D profile sensor consists of several steps. First, a light source is used to illuminate the object. The reflected light is then recorded by a camera containing a line of pixels. The camera records the intensity of the reflected light for each pixel along the line.
The captured image data is then analyzed by an image processing algorithm to extract the height information of the profile. This algorithm compares the intensity values of the pixels and determines the transition from light to dark in order to recognize the edges of the profile. By analyzing the distances between the edges, the profile sensor can determine the height information of the object.
2D profile sensors are used in various applications. Some examples are:
1. Quality control: 2D profile sensors can be used to check the surface quality of products. For example, they can detect cracks, unevenness or other defects on a surface.
2. Dimensional measurements: 2D profile sensors can be used to measure lengths, widths or other dimensions of objects. This is particularly useful in the manufacturing industry to ensure that products meet the required specifications.
3. Positioning and alignment: 2D profile sensors can be used to determine the position and orientation of objects. This can be used in robotics or automated assembly lines to position objects precisely.
4. Surface inspection: Surface structures can be analyzed with 2D profile sensors. This can be used in the textile industry to check fabrics for patterns or damage.
Overall, 2D profile sensors provide a precise and effective method of capturing profile information from objects. Their applications range from quality control to robotics and automation.
The functionality of a 2D profile sensor consists of several steps. First, a light source is used to illuminate the object. The reflected light is then recorded by a camera containing a line of pixels. The camera records the intensity of the reflected light for each pixel along the line.
The captured image data is then analyzed by an image processing algorithm to extract the height information of the profile. This algorithm compares the intensity values of the pixels and determines the transition from light to dark in order to recognize the edges of the profile. By analyzing the distances between the edges, the profile sensor can determine the height information of the object.
2D profile sensors are used in various applications. Some examples are:
1. Quality control: 2D profile sensors can be used to check the surface quality of products. For example, they can detect cracks, unevenness or other defects on a surface.
2. Dimensional measurements: 2D profile sensors can be used to measure lengths, widths or other dimensions of objects. This is particularly useful in the manufacturing industry to ensure that products meet the required specifications.
3. Positioning and alignment: 2D profile sensors can be used to determine the position and orientation of objects. This can be used in robotics or automated assembly lines to position objects precisely.
4. Surface inspection: Surface structures can be analyzed with 2D profile sensors. This can be used in the textile industry to check fabrics for patterns or damage.
Overall, 2D profile sensors provide a precise and effective method of capturing profile information from objects. Their applications range from quality control to robotics and automation.
How do 3D profile sensors work and what advantages do they offer compared to 2D sensors?
3D profile sensors are special sensors that are able to capture three-dimensional information about the surface of an object. They use various technologies to capture this information, including light sectioning, triangulation or stereovision.
In the light section method, a laser beam or light source is projected onto the surface of the object. A camera then records the reflected light and analyzes the changes in the light pattern. By evaluating these changes, the sensor can determine the three-dimensional shape of the object.
In triangulation, a laser beam or light source is projected onto the surface of the object. A camera captures the reflected light and measures the angle at which the light hits the camera. By comparing the angles at different points on the surface, the sensor can reconstruct the three-dimensional shape of the object.
With stereovision, two cameras are used to capture the object from two different angles. By comparing the images from both cameras, the sensor can determine the depth information and the three-dimensional shape of the object.
The main advantage of 3D profile sensors compared to 2D sensors is that they can provide additional information about the spatial structure of an object. With a 2D sensor, you can only obtain two-dimensional information about the X and Y coordinates of an object. However, a 3D profile sensor can also provide depth information, i.e. the Z-coordinate, which represents the third dimension. This enables 3D profile sensors to measure the height, width, depth or surface structure of an object, for example.
This additional information can be beneficial in various applications, such as quality control, robotics and automation, measurement and inspection of components, detection of surface structures or object recognition and tracking. 3D profile sensors enable more precise and accurate detection of objects and can therefore help to improve the efficiency and accuracy of processes.
In the light section method, a laser beam or light source is projected onto the surface of the object. A camera then records the reflected light and analyzes the changes in the light pattern. By evaluating these changes, the sensor can determine the three-dimensional shape of the object.
In triangulation, a laser beam or light source is projected onto the surface of the object. A camera captures the reflected light and measures the angle at which the light hits the camera. By comparing the angles at different points on the surface, the sensor can reconstruct the three-dimensional shape of the object.
With stereovision, two cameras are used to capture the object from two different angles. By comparing the images from both cameras, the sensor can determine the depth information and the three-dimensional shape of the object.
The main advantage of 3D profile sensors compared to 2D sensors is that they can provide additional information about the spatial structure of an object. With a 2D sensor, you can only obtain two-dimensional information about the X and Y coordinates of an object. However, a 3D profile sensor can also provide depth information, i.e. the Z-coordinate, which represents the third dimension. This enables 3D profile sensors to measure the height, width, depth or surface structure of an object, for example.
This additional information can be beneficial in various applications, such as quality control, robotics and automation, measurement and inspection of components, detection of surface structures or object recognition and tracking. 3D profile sensors enable more precise and accurate detection of objects and can therefore help to improve the efficiency and accuracy of processes.
Which technologies are used in 2D and 3D profile sensors?
Various technologies are used in 2D profile sensors, including
1. Laser scanning: A laser beam is projected onto the object to be detected and the reflection of the beam is measured. By analyzing the reflection patterns, a profile of the object can be created.
2. Triangulation: With this method, a laser beam is directed at the object and the displacement of the reflected beam is measured. A profile of the object can be created by calculating the angle and distance.
3. Time-of-Flight (ToF): This technology uses the measurement of the time it takes for a light beam to travel from the sensor to the object and back. By calculating the runtime, the distance to the object can be determined and thus a profile can be created.
Similar technologies are used in 3D profile sensors, but with additional functions for recording depth information. These include:
1. Stereoscopy: This technology uses two cameras that view the object from different angles. By analyzing the differences in the images, the depth information can be calculated and a 3D profile created.
2. Structured Light: With this method, a pattern of light projections is projected onto the object. The distortions of the pattern are recorded by a camera and a 3D profile of the object can be created by analyzing these distortions.
3. Time-of-Flight (ToF): ToF technology is also used in 3D profile sensors to measure the distance to the object and thus create a 3D profile.
1. Laser scanning: A laser beam is projected onto the object to be detected and the reflection of the beam is measured. By analyzing the reflection patterns, a profile of the object can be created.
2. Triangulation: With this method, a laser beam is directed at the object and the displacement of the reflected beam is measured. A profile of the object can be created by calculating the angle and distance.
3. Time-of-Flight (ToF): This technology uses the measurement of the time it takes for a light beam to travel from the sensor to the object and back. By calculating the runtime, the distance to the object can be determined and thus a profile can be created.
Similar technologies are used in 3D profile sensors, but with additional functions for recording depth information. These include:
1. Stereoscopy: This technology uses two cameras that view the object from different angles. By analyzing the differences in the images, the depth information can be calculated and a 3D profile created.
2. Structured Light: With this method, a pattern of light projections is projected onto the object. The distortions of the pattern are recorded by a camera and a 3D profile of the object can be created by analyzing these distortions.
3. Time-of-Flight (ToF): ToF technology is also used in 3D profile sensors to measure the distance to the object and thus create a 3D profile.
What factors influence the accuracy and resolution of 2D and 3D profile sensors?
The accuracy and resolution of 2D and 3D profile sensors can be influenced by various factors:
1. Optical attributes: The quality of the optics, such as the resolution of the lens, can influence the accuracy.
2. Sensor resolution: The number of pixels or points that the sensor can capture determines the resolution of the profile sensor. A higher number of pixels leads to a higher resolution.
3. Sensor size: A larger sensor can capture more data and therefore offer greater accuracy and resolution.
4. Exposure time: The length of the exposure time influences the quality of the image produced. A longer exposure time can lead to greater accuracy, but can also result in motion blur.
5. Distance to the object: The distance between the profile sensor and the object can influence the accuracy. A greater distance can lead to lower accuracy.
6. Ambient conditions: Factors such as lighting, temperature and humidity can influence the accuracy and resolution.
7. Sensor error: Each sensor has its own sources of error. These can be calibration errors, noise or distortions that can affect the accuracy.
8. Processing algorithms: The algorithms for processing the recorded data can improve or worsen the accuracy and resolution.
It is important to note that these factors can vary depending on the type of profile sensor, whether it is a 2D or 3D sensor.
1. Optical attributes: The quality of the optics, such as the resolution of the lens, can influence the accuracy.
2. Sensor resolution: The number of pixels or points that the sensor can capture determines the resolution of the profile sensor. A higher number of pixels leads to a higher resolution.
3. Sensor size: A larger sensor can capture more data and therefore offer greater accuracy and resolution.
4. Exposure time: The length of the exposure time influences the quality of the image produced. A longer exposure time can lead to greater accuracy, but can also result in motion blur.
5. Distance to the object: The distance between the profile sensor and the object can influence the accuracy. A greater distance can lead to lower accuracy.
6. Ambient conditions: Factors such as lighting, temperature and humidity can influence the accuracy and resolution.
7. Sensor error: Each sensor has its own sources of error. These can be calibration errors, noise or distortions that can affect the accuracy.
8. Processing algorithms: The algorithms for processing the recorded data can improve or worsen the accuracy and resolution.
It is important to note that these factors can vary depending on the type of profile sensor, whether it is a 2D or 3D sensor.
Which industrial applications particularly benefit from 2D or 3D profile sensors?
2D or 3D profile sensors are used in various industrial applications and offer numerous advantages. Here are some examples of applications that particularly benefit from these sensors:
1. Quality control: Profile sensors can be used to check the surface quality and dimensional accuracy of products. They can detect irregularities, defects or deviations and enable precise quality control.
2. Robot-assisted assembly: Profile sensors can be used in automated assembly to detect, localize and align components. They enable precise positioning and alignment of the components, resulting in efficient assembly.
3. Surface inspection: Profile sensors can be used to scan and inspect product surfaces. They can detect irregularities, scratches, cracks or other defects that would be difficult to see with the naked eye.
4. Robot guidance: Profile sensors can be used in robotics to assist robots with navigation and guidance. They can record environmental data, detect obstacles and guide the robot safely through the work area.
5. Measurement and dimensioning: Profile sensors can be used to measure and dimension objects. You can create accurate 3D models of objects and measure distances, angles, volumes or other dimensions.
6. Material recognition: Profile sensors can be used to detect and differentiate between different materials. This is particularly useful in material sorting or when monitoring production processes in which different materials are used.
These are just a few examples of industrial applications that can benefit from 2D or 3D profile sensors. However, the exact application depends on the specific requirements and needs of the respective industrial sector.
1. Quality control: Profile sensors can be used to check the surface quality and dimensional accuracy of products. They can detect irregularities, defects or deviations and enable precise quality control.
2. Robot-assisted assembly: Profile sensors can be used in automated assembly to detect, localize and align components. They enable precise positioning and alignment of the components, resulting in efficient assembly.
3. Surface inspection: Profile sensors can be used to scan and inspect product surfaces. They can detect irregularities, scratches, cracks or other defects that would be difficult to see with the naked eye.
4. Robot guidance: Profile sensors can be used in robotics to assist robots with navigation and guidance. They can record environmental data, detect obstacles and guide the robot safely through the work area.
5. Measurement and dimensioning: Profile sensors can be used to measure and dimension objects. You can create accurate 3D models of objects and measure distances, angles, volumes or other dimensions.
6. Material recognition: Profile sensors can be used to detect and differentiate between different materials. This is particularly useful in material sorting or when monitoring production processes in which different materials are used.
These are just a few examples of industrial applications that can benefit from 2D or 3D profile sensors. However, the exact application depends on the specific requirements and needs of the respective industrial sector.
How are 2D and 3D profile sensors used in robotics?
2D and 3D profile sensors are used in robotics for various applications. Here are some examples:
1. 2D profile sensors are used to determine the position and orientation of objects in a room. They can be used, for example, to determine the position of workpieces on a conveyor belt or to detect the position of obstacles in an environment. This information can be used by robots to grasp objects or avoid obstacles.
2. 3D profile sensors are used to create a detailed three-dimensional image of objects. They capture the shape and surface structure of objects and enable robots to use this information to carry out precise manipulations. For example, 3D profile sensors can be used in assembly to determine the position of components and to check the quality of machined surfaces.
3. 2D and 3D profile sensors are also used for inspection and quality control. They can be used, for example, to detect surface defects on components or to check the dimensional accuracy and alignment of products. These sensors enable robots to perform automated inspection tasks, which improves the efficiency and accuracy of production processes.
Overall, 2D and 3D profile sensors enable robots to perceive their surroundings and carry out precise manipulations. They are an important component of robot systems in many applications, from industrial production to logistics.
1. 2D profile sensors are used to determine the position and orientation of objects in a room. They can be used, for example, to determine the position of workpieces on a conveyor belt or to detect the position of obstacles in an environment. This information can be used by robots to grasp objects or avoid obstacles.
2. 3D profile sensors are used to create a detailed three-dimensional image of objects. They capture the shape and surface structure of objects and enable robots to use this information to carry out precise manipulations. For example, 3D profile sensors can be used in assembly to determine the position of components and to check the quality of machined surfaces.
3. 2D and 3D profile sensors are also used for inspection and quality control. They can be used, for example, to detect surface defects on components or to check the dimensional accuracy and alignment of products. These sensors enable robots to perform automated inspection tasks, which improves the efficiency and accuracy of production processes.
Overall, 2D and 3D profile sensors enable robots to perceive their surroundings and carry out precise manipulations. They are an important component of robot systems in many applications, from industrial production to logistics.
What future developments can be expected in 2D and 3D profile sensors?
Several developments in 2D and 3D profile sensors can be expected in the future:
1. Improved resolution: As technology advances, sensors will be able to capture more detailed and finer profiles. This enables more precise detection of surface structures and features.
2. Higher speed: Future profile sensors will be able to capture and process profiles more quickly. This enables faster inspection of objects or surfaces.
3. Extended functionality: It is to be expected that profile sensors will be equipped with extended functions in the future, such as the recording of color information or the integration of AI algorithms for automatic object recognition.
4. More compact design: Miniaturization of components will make profile sensors more compact and lighter in the future. This facilitates integration into various applications and enables use in areas where space is limited.
5. Improved robustness: Future profile sensors will probably be more robust and resistant to environmental influences such as vibrations, dust or moisture. This increases the reliability and service life of the sensors.
6. Cost efficiency: As the technology becomes more widespread and advanced, the cost of profile sensors is expected to fall, leading to wider application and accessibility.
Overall, future developments in 2D and 3D profile sensors will lead to improved performance, extended application areas and greater efficiency.
1. Improved resolution: As technology advances, sensors will be able to capture more detailed and finer profiles. This enables more precise detection of surface structures and features.
2. Higher speed: Future profile sensors will be able to capture and process profiles more quickly. This enables faster inspection of objects or surfaces.
3. Extended functionality: It is to be expected that profile sensors will be equipped with extended functions in the future, such as the recording of color information or the integration of AI algorithms for automatic object recognition.
4. More compact design: Miniaturization of components will make profile sensors more compact and lighter in the future. This facilitates integration into various applications and enables use in areas where space is limited.
5. Improved robustness: Future profile sensors will probably be more robust and resistant to environmental influences such as vibrations, dust or moisture. This increases the reliability and service life of the sensors.
6. Cost efficiency: As the technology becomes more widespread and advanced, the cost of profile sensors is expected to fall, leading to wider application and accessibility.
Overall, future developments in 2D and 3D profile sensors will lead to improved performance, extended application areas and greater efficiency.