Wir sind spezialisiert auf Produktentwicklung, beginnend mit Vorstudien und Machbarkeitsstudien zur Bewertung der Projektrealisierbarkeit. Wir konzentrieren uns auf die Auswahl geeigneter Komponenten, die am besten zu den Anforderungen und Rahmenbedingungen des Projekts passen. Unsere Expertise im Bereich Systemdesign ermöglicht es uns, robuste und effiziente Rahmenstrukturen zu schaffen. Wir definieren die Systemtopologie, um ein optimales und kohärentes Layout zu etablieren. Die Sicherstellung von Einheitlichkeit und Corporate Design ist fester Bestandteil unseres Prozesses, um die Übereinstimmung mit der Markenidentität und den Standards zu gewährleisten. Darüber hinaus bieten wir Anpassungen an, um spezielle Anforderungen und einzigartige Projektherausforderungen zu adressieren.
We are specialized in product development. Consisting of:
Preliminary and feasibility Studies
In the initial phase of machine vision product development, preliminary studies and feasibility assessments are conducted to evaluate the technical and economic viability of the project. This involves understanding the application requirements, potential challenges, and defining the scope of the machine vision system. Market analysis, competitor reviews, and technology assessments help in identifying the best approaches and technologies to meet the desired objectives. The feasibility study assesses whether the proposed machine vision system can achieve the necessary performance metrics within budget and time constraints.
Choosing Adequate Components
This step involves the careful selection of components critical to the machine vision system, balancing performance and cost. Key components include image sensors, lenses, lighting systems, processing units (such as FPGAs, GPUs, or CPUs), and communication interfaces. Factors such as resolution, frame rate, field of view, and environmental conditions are considered to choose components that meet the specific requirements of the machine vision application while staying within budget constraints. Component selection ensures the system's capability to capture, process, and analyse images effectively.
System design
System design involves creating a comprehensive plan for integrating all selected components into a cohesive machine vision system. This includes designing the optical setup for image acquisition, defining the image processing pipeline, and determining the system's hardware and software architecture. Design considerations include image preprocessing, feature extraction, object detection, and decision-making algorithms. The system design ensures that all components work harmoniously to achieve the desired performance and reliability in real-world conditions. This phase may also involve simulation and modelling to validate design choices before implementation.
System definition of a topology
The system definition of a topology outlines the structural layout and interconnections between various components of the machine vision system. This includes defining the spatial arrangement of cameras, lighting, and processing units, as well as the network architecture for data communication. The topology ensures efficient data flow and integration between different subsystems, enabling real-time image acquisition, processing, and decision-making. A well-defined topology also considers scalability and flexibility, allowing for future upgrades and modifications.
Uniformity / Corporate design
Uniformity and corporate design focus on aligning the machine vision product with the company’s brand identity and standards. This involves designing the system's hardware enclosures, user interfaces, and documentation to reflect a consistent look and feel that aligns with corporate branding. Aesthetic considerations are balanced with functional requirements to ensure that the product not only meets technical specifications but also presents a professional and cohesive appearance. This step reinforces brand recognition and user experience.
Customizations for special needs
Customizations address specific needs and challenges unique to the machine vision application. This may involve developing specialized algorithms for unique image processing tasks, integrating custom hardware for specific operational environments, or adapting the system for non-standard imaging conditions. Customizations ensure that the machine vision system can handle unique use cases and achieve optimal performance in diverse applications. This phase often involves close collaboration with end-users to tailor the solution to their exact requirements.
These steps collectively ensure that the machine vision product is thoroughly researched, well-designed, cost-effective, and aligned with both technical and corporate standards, while also being adaptable to specific application needs.