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Embedded Vision in Action
"Vision" for industry and series products
Embedded Vision brings image capture and image processing to devices, machines, and systems. The technology enables the recognition of objects and people, process and quality control, as well as navigation and autonomous decision-making. With its data depth and analyzability, Embedded Vision is a key technology for numerous industries and applications.
Industries and applications for Vision Components
These fields of application and use-cases are exemplary of our customers' diverse projects.
Agriculture
Smart farming, precision farming, and yield monitoring
Logistics
Autonomous mobile systems, label and code recognition
Industry & Production
Automation, process and quality assurance
ITS & Security
from traffic monitoring to surveillance and drones
Vision Components: Your partner for Embedded Vision in professional applications
- Made in Germany
- 30+ years of experience
- long-term available
- industrial-grade quality
- fully customizable
VC is a developer and manufacturer – not a distributor. Customers speak directly with experienced Embedded Vision experts and receive the components for their project from a single source. Individual adaptations and variants are possible at any time, perfectly matched to the respective application.
How can we support you with your Embedded Vision project? We would be happy to discuss your needs and requirements.
- Selection of the right image sensor
- Integration: camera module, components, or complete system?
- Design-in, review, and series qualification
VC Case Studies: Vision Components at work
Cameras and systems from Vision Components have proven themselves in many projects. Here we present some examples – and show why our partners chose VC.
Advanced Quality Control in Can Production
Smart camera-based inspection systems for can manufacturers.
More Information on Embedded Vision applications
Do you have any questions?
What is Embedded Vision used for in real-life?
What is Embedded Vision used for in real-life?
Embedded Vision is used as a technology for integrating cameras and image processing into devices and machines. For this purpose, ultra-compact camera modules, such as the VC MIPI Cameras from Vision Components, are connected to corresponding processor boards, and these embedded vision systems are built into the devices. There are also complete vision systems that directly integrate camera and image processing. Edge processing—meaning data processing directly on the devices without additional computing units—is typical for Embedded Vision.
MIPI CSI-2 has established itself as the standard interface between the camera and the processor board. When selecting cameras and components for professional series products, industrial-grade quality and long-term availability are important.
In which industries is Embedded Vision particularly widespread?
In which industries is Embedded Vision particularly widespread?
Embedded Vision is used everywhere: from automation and quality assurance in industry, to driver assistance systems, autonomous driving, and traffic monitoring, all the way to robotics, agricultural technology, medical technology, and laboratory automation. Driven by the technological advancement of cameras, processors, and AI applications, Embedded Vision is also increasingly being integrated into intelligent household appliances and other smart devices. Cameras and embedded vision systems from Vision Components are used, among other things, in humanoid robots and in space.
What are examples of Embedded Vision applications?
What are examples of Embedded Vision applications?
Typical embedded vision applications are optical inspection systems and equipment for process monitoring in industry, for example, for weld seam inspection. In the automotive sector, embedded cameras are used for driver assistance systems such as lane keeping assist, traffic sign recognition, and emergency brake assist. In smart farming or precision farming, embedded vision systems from Vision Components enable the targeted use of herbicides, and harvesting robots automatically detect the ripeness of fruit.