3D machine vision with cameras, depth data and point clouds
Evaluate spatial information – for monitoring, analysis and automation
Dat-inf develops custom solutions for 3D machine vision when, in addition to the camera image, height, depth, distance or spatial position must also be determined reliably. Typical tasks include spatial monitoring with 3D cameras, position determination of objects, the evaluation of depth data and point clouds as well as the geometric analysis of surfaces, volumes or spatial deviations.
For many applications, a classic 2D image is not enough. As soon as perspective effects, hidden edges or changing object orientations come into play, additional depth information often provides the decisive added value. This is exactly where our 3D machine vision comes in: with practical software, robust evaluation and a solution that fits the real process.
Typical 3D machine vision tasks
- Position determination of objects and features in space
- Spatial monitoring of defined zones with 3D cameras
- Evaluation of point clouds and depth images
- 3D measurement of distances, heights, volumes or surfaces
- Geometric analysis of surfaces, flatness or spatial deviations
- Combining 2D and 3D data for more robust decisions
What you get from us
- Custom 3D evaluation tailored to your specific task
- Practical concept for sensor setup, positioning and data processing
- Robust logic for zone monitoring, object position and geometry inspection
- Traceable results through visualization and clear metrics
- Integration into existing processes, software and user interfaces
Good 3D machine vision depends not only on the sensor, but also on calibration, data quality, perspective, field of view and an evaluation method that fits the real constraints.
When 3D machine vision makes sense
3D machine vision is particularly useful when pure 2D images are not sufficient to reliably determine position, height, depth or spatial relationships. This applies, for example, to monitoring tasks, the analysis of complex geometries, volume capture or precise localization in space.
The additional depth information allows many tasks to be solved more robustly – especially when objects differ strongly in shape, surface or position or when perspective effects would make 2D too inaccurate. That is why 3D machine vision is often combined with classical machine vision, camera-based measurement systems or optical quality inspection.
Typical application areas
- Monitoring freely definable spaces and safety zones
- Position determination of objects in three-dimensional space
- Measurement of height profiles, volumes and surface structures
- Inspection of position, flatness or spatial deviations
- Combining 3D evaluation with classical machine vision
- Evaluation of point clouds from camera or scanning systems
- Analysis of movements or states in monitored areas
- Retrofitting existing systems with additional 3D information
From spatial task to robust 3D solution
At the beginning, we clarify which spatial information is actually needed and what accuracy, range and response time are required. This results in requirements for the sensor, camera position, calibration, field of view and data processing.
We then use test data or a feasibility study to assess how stably the desired evaluation works under real conditions. The goal is not a mere demo, but a reliable assessment for productive use.
Typical project sequence
- Initial consultation at no charge and clarification of the spatial task
- Feasibility study with test data, target values and an initial evaluation concept
- Prototyping of the 3D logic including calibration and borderline-case tests
- Integration into software, data flow, interfaces and operator workflow
- Handover, operation and further development as needed
Practical examples of 3D machine vision
3D spatial monitoring with a freely definable area
A typical application is monitoring a spatially defined area with a 3D camera. The system does not just detect whether something is visible, but whether objects are actually located within a defined spatial volume. This is relevant for safety zones, material flows or applications in which movements at a defined depth must be evaluated.
Position and orientation determination in depth data
Depth images or point clouds make it possible to localize objects and features in space, for example to determine positions, heights or spatial deviations. This is especially helpful when 2D data alone would not be stable enough or when strongly different object orientations must be assessed reliably.
Combining 3D measurement and quality inspection
Many tasks combine spatial geometry with classical quality features. In such cases, we combine 3D evaluation with 2D machine vision, classification or logging into one integrated solution. This creates not an isolated system, but a consistent inspection and analysis process.
Software, data and integration
Evaluation and visualization
Depending on the task, we provide spatial metrics, position data, zone status, reports or visualizations of depth information and point clouds. Results can be documented, historized and combined with further inspection criteria.
This turns a 3D sensor into a reliable tool for monitoring, analysis or automation. If desired, we connect the results to databases, reports or existing user interfaces.
Integration into existing systems
Our solutions can be integrated into existing software, databases, control logic or interfaces. Implementation can take the form of a Windows application, a client-server solution or part of a larger system architecture.
This ensures that 3D machine vision does not become an isolated system, but a productive part of your process. If an existing system is to be extended, we also support the retrofit of existing systems.
Frequently asked questions about 3D machine vision
When is a 3D camera better than a 2D camera?
Whenever height, depth, distance or position in space plays a decisive role. For pure surface or presence checks, 2D is often sufficient. However, when spatial information must be determined reliably, 3D machine vision usually provides the more robust basis.
Can 3D machine vision also be combined with existing systems?
Yes. 3D evaluation is often combined with existing software, 2D machine vision or measurement logic. This makes it possible to extend existing processes without rebuilding everything from scratch. Especially in retrofit projects, this is often the most economical approach.
Can point clouds and depth data be evaluated automatically?
Yes. Depending on the task, positions, distances, volumes, surface features or states can be calculated automatically from point clouds and depth images. The decisive factor is that sensor technology, calibration and evaluation logic are aligned with the real application.
Why Dat-inf for 3D machine vision
We do not develop general standard solutions based on sensor promises, but tailored software for specific spatial tasks. In doing so, we combine 3D evaluation, classical machine vision, software development and system integration.
Our focus is on practical usability, robustness and traceable results – precisely the points that determine success in later operation.
Would you like to assess whether your 3D task can be solved sensibly with cameras and software?
Contact us for an initial assessment or a feasibility study.