Machine Vision Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used Machine Vision
Peter S.
Last position:
Senior ML Engineer & AI Researcher at Anonymous Client
Project: Defect Generation on Test-Bench Images of Metal Surfaces Environment: Automated Visual Inspection (AVI), Metallurgy & Manufacturing
- Objective & Implementation: Designed, architected, and trained Generative Adversarial Networks (Pix2PixHD / SPADE) for image-to-image transformation. Targeted generation of synthetic material defects (e.g., cracks, inclusions, scale) on rough metal surfaces under real test-bench lighting conditions for privacy-compliant and efficient dataset expansion (data augmentation).
- Technical Design: Implemented robust Generative AI and computer vision pipelines in Python and PyTorch. Used semantic segmentation approaches for mask-controlled defect synthesis and subsequent evaluation with EfficientDet object detection models.
- Business Impact: Massive dataset upscaling (10x) without time-consuming and costly physical test-bench runs, while significantly improving the detection performance of automated inspection systems.
Technologies & Skills Used: Python | PyTorch | SPADE | Pix2PixHD | EfficientDet | Machine Learning | Semantic Segmentation | Computer Vision
Sven W.
Last position:
Simulation of Photometric-Stereo Setups at ID Engineering
- Role: Simulation Engineer
- Environment: Mechanical Engineering / Visual Inspection
- Goals & Implementation: Simulation of photometric-stereo setups to determine the best positions for cameras and light sources for each specific part.
- Business Value: Enabled a low-cost and scalable solution for determining part-specific hardware setups.
- Tech Stack: Python, Blender
Andre K.
Last position:
Nearshore Engagement Manager at EnBW AG
- Building strong awareness within the company around nearshoring
- Engagement Manager in the Nearshore Competence Center
- Responsible for nearshore consulting, partner screening and technical onboarding, designing and implementing cooperation scenarios, change management, stakeholder management, participation in steering committees, and collaboration with IT and business units
- Tools used: Microsoft Office 365, Microsoft Teams, Azure Devops, Microsoft Sharepoint, Conceptboard
- Key results: Establishment of a nearshoring strategy, successful identification and implementation of outsourcing partnerships, delivery of change management and stakeholder management at the highest level
Youness R.
Last position:
Communication modernization and recipe management between S7-300, S7-1500 and WinCC V7 at Siemens AG
- Consulting and development of suitable communication concepts between S7-300 and S7-1500, taking the existing PROFIBUS infrastructure into account
- Technical support for connecting the S7-300 controllers to the existing recipe data block of the S7-1500
- Assisting in the development of the communication sequence for recipe access (read, write, acknowledge, status handling)
- Configuration of S7 communication (PUT/GET)
- Creation and adaptation of WinCC V7 scripts (C scripts and VBS scripts) for WinCC-based recipe management
- Development, optimization, and integration of recipe processes into the existing WinCC project structure
- Commissioning of the new communication interfaces and recommissioning of the recipe logic on existing systems
- Creation of technical documents: communication sequences, functional descriptions, commissioning documentation
Krithika C.
Last position:
Professional Reorientation at Von Rundstedt
- Engaged in a structured career development program while strengthening German language proficiency (B1 level) and evaluating opportunities in ADAS/AD systems and requirements engineering.
Daniel P.
Last position:
Freelance specialist in industrial automation technology at dPSolutions
- Self-employed PLC and software specialist focusing on automation and special-purpose machinery
- Programming, modernization, expansion and optimization of production systems, focusing on increased efficiency, data transparency and system integration
- PLC programming and safety with Siemens S7 Classic/TIA Portal, Beckhoff TwinCAT 2/3 and CoDeSys
- Development of high-level language software and database applications (.NET / C#, C++, Visual Basic .NET, Borland/Embarcadero C++)
- Development of custom software solutions for industrial automation, including embedded systems (Raspberry Pi, Arduino, NodeMCU, ESP8266)
- Integration of external systems such as reading devices, printers, scales, scanners and cameras, as well as various bus systems (Ethernet, Profinet, Profibus, EtherCAT, CAN bus, RS232, TCP/IP)
- Creation of visualizations and HMI applications with Siemens WinCC flexible, Beckhoff HMI and .NET frontends
- Planning, development and integration of machine vision solutions (Keyence, Cognex, AVS Alfavision, camera systems) in PLC and PC environments
- Design and implementation of process data collection systems and traceability solutions (100% traceability) based on Microsoft SQL Server (Compact, Express, Server), including stored procedures and direct PLC-SQL communication
- Creation of software and PLC concepts, standard function blocks and project libraries for PLC and high-level language projects
- Planning and programming of conveyor, inspection, assembly, packaging and grinding systems in industries such as automotive, chemical, food, electronics, machinery and systems engineering
- Conducting workshops and training on Siemens TIA Portal, STEP7 Classic, Beckhoff TwinCAT (including TwinSAFE), as well as topics such as architectures, safety, database integration and documentation
- Creation of technical documentation, manuals, training materials and class documentation with Microsoft Office and Doxygen
- Project management tasks from requirements analysis through planning, concept development and supplier coordination to commissioning, production support and customer support
Ali D.
Last position:
Software Engineer Industrial IT & PLC at Yaskawa Europe GmbH
Designed and implemented the complete data flow architecture for the Mercedes-AMG battery case production line, from raw material processing to end-customer traceability.
Developed MQTT-based communication protocols for Siemens S7 PLC controllers to enable efficient real-time data exchange between machines and supervisory systems.
Architected a local Ubuntu-based industrial server, integrating Node-RED for data collection, MySQL databases running in Docker containers, and automated data pipelines.
Commissioned connectivity of 52 Siemens PLCs and 32 Yaskawa welding and handling robots.
Designed and implemented HMI and visualization systems to support operator interaction and production monitoring.
Designed a 2D digital twin of the production floor, visualizing real-time process data from 26 Siemens PLCs and 18 Yaskawa welding robots via Stromquelle interfaces.
Implemented data collection and camera-based measurement systems for welding quality control and automated defect visualization.
Designed and optimized MySQL database structures, including stored procedures for data processing and performance analytics.
Kaan K.
Last position:
Computer Vision Engineer at Axulus Reply GmbH
- Computer vision engineer responsible for development of industrial vision solutions, beginning as a working student and transitioning to a full-time role in May 2025.
- Designed and implemented vehicle detection and counting models; integrated the pipeline into a cloud-deployed system (Azure) that delivers live analytics dashboards.
- Building an offline print quality assurance system that scans corrugated-board prints on production lines to detect and classify defects such as splashes, impurities and colour deviations, deploying the solution on Jetson edge devices.
- Collaborated with cross-functional teams while focusing on computer vision components, containerization, and deployment.
Fabian J.
Last position:
System Integrator for Robotics and Web Development at SENPRO Sensortechnik GmbH
- Developed a collaborative robot cell for automated handling and silicone dispensing of sensor components.
- Responsible for mechanical design, electronics, software integration and final CE certification.
- A custom-designed tool-changing system enabled automated switching between handling and dispensing tools.
- Developed a Django-based control console for industrial robots for process monitoring, combining a real-time dashboard (WebSocket, Chart.js) and a RESTful API (DRF).
- It allows asynchronous program execution, live data and camera stream visualization, robot control, as well as statistical analysis and documentation of process data with an interactive Bootstrap interface.
- Technologies used: Universal Robots (URScript), Arduino, OpenCV, Python, Django/Django REST Framework (DRF), Channels, SQLite, Chart.js, Bootstrap, JavaScript, HTML/CSS, AutoCAD, Autodesk Fusion 360, design & fabrication with aluminum profiles, laser parts, specialized sheet metal, RoboDK simulation
Johann S.
Last position:
Business Development and Commercial Advisory at Freelance
Sales representation and go-to-market for a listed foreign manufacturer of aesthetic medical technology, around USD 60 million in annual revenue: building the sales structure in my own territory, direct sales to practices and clinics, training and user support
Three go-to-market and sales representation mandates in the MedTech and aesthetic device environment: building operational sales structures and opening up new sales channels in the healthcare sector
Six-figure revenue within the first four months through sales representation and go-to-market mandates
Operational setup of a medical franchise system: market analysis, SOPs and process digitalization, patient retention, 133 percent patient growth
Venture building for a German medical technology manufacturer: sales architecture, sales processes, and scaling network
Development of a B2B SaaS for the healthcare sector with multi-tenant architecture and seat-based revenue model
Sales training and sparring for a managing director in the physician segment, a subsidiary of an international insurance group
Strategic alignment and investor storytelling for an international air freight company, investment volume of EUR 2 million
Go-to-market for an AI-based inspection system with successful market launch
Jörg P.
Last position:
Master Electrician at Automatisierungstechnik Jörg Putzer
- Project planning, manufacturing and programming of systems for:
- Process automation
- Control and regulation technology
- Fully and semi-automatic controls for machines and plants
- PLC programming (Siemens)
- Simatic Manager
- TIA Portal
- Risk analysis and assessment with CE certification
- Retrofit of existing machines and plants
- Programming of industrial robots
Christian W.
Last position:
PR trainee program at HighTech Marketing
Discover over 15,000 top freelancers
Statistics of experts using Machine Vision
Aggregated from the professional profiles of matched freelancers.
Experience
15 years
Position duration
4.3 years
Positions per freelancer
9
Top business areas
Product Development, Information Technology, Quality Assurance
Top industries
Manufacturing, Information Technology, Automotive
Certification focus areas
Operations, Product Development, Production
Bachelor's degree or higher
90%
Master's degree or higher
60%
Doctorate
20%
Certifications per freelancer
2
Most common languages
German, English, French
Speak two or more languages
92%
Based on our profile pool as of 19 Sep 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Germany are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows how many freelancers charge within that range.
Average rates of experts in Germany using Machine Vision
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 19 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Machine Vision experts industry focus
See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.
- Manufacturing (100%)
- Information Technology (58%)
- Automotive (50%)
- Healthcare (42%)
- Education (33%)
- Biotechnology (25%)
- Chemical (25%)
- Banking and Finance (25%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Machine Vision Does
Machine Vision uses cameras, optics, lighting and software to capture and interpret visual information. It helps machines inspect products, locate parts, read labels, measure dimensions and guide motion without constant human observation. Computer vision is the broader software field; Machine Vision often refers to production-ready systems connected to equipment and processes.
Typical Applications
Machine Vision appears wherever visual decisions must be consistent, traceable and fast:
- Detecting defects, contamination, scratches and missing components
- Checking assembly, dimensions, labels, codes and packaging
- Guiding robots, pick-and-place systems and machine tools
- Supporting logistics, food production, automotive and electronics operations
Ecosystem And Tools
A complete system may combine industrial cameras, lenses, lighting, triggers, frame grabbers and PLC connections. Specialists work with image-processing libraries such as OpenCV, HALCON and Cognex tools, alongside Python, C++ or C#. They also connect results to MES, SCADA, robotics and quality-management systems.
When Companies Need Specialists
Freelance expertise is useful when a proof of concept must become a stable production cell, or when an existing inspection system produces unreliable results. Companies also bring in professionals for camera selection, lighting design, dataset preparation, algorithm tuning, edge deployment and integration with factory controls. In Germany, on-site access can matter for commissioning, while remote work suits software, data and documentation tasks.
What Strong Professionals Deliver
Strong specialists start with the inspection decision, not just the camera. They define tolerances, control image conditions, select suitable optics and create tests for difficult samples. They understand false positives, false negatives, cycle time, maintainability and operator feedback. Clear documentation and reproducible validation make the system easier to support after handover.
Project Readiness And Collaboration
Before engaging an expert, companies should clarify the parts, defects, production speed, available images and required interfaces. A useful brief includes sample products, lighting constraints, acceptance criteria and the target environment. Professionals may work with teams across Germany remotely, but factory trials, safety reviews and equipment changes often require planned site visits. The right specialist can separate a camera problem from a process, data or integration problem.
Frequently asked questions
Quick answers to the questions that come up most around Machine Vision.
Machine Vision is used to inspect products, verify assembly, read codes, measure features and guide robots. It combines image capture with processing rules or trained models so equipment can make repeatable visual decisions.
Machine Vision usually describes a complete operational system with cameras, lighting, optics, triggers and industrial interfaces. Computer vision is a wider software discipline that can also cover mobile applications, medical imagery, autonomous systems and other non-factory use cases.
A strong Machine Vision specialist may also understand optics, lighting, OpenCV, HALCON, Python, C++ or C#. Experience with PLCs, robotics, MES, SCADA, edge computing and structured data helps when the vision system must operate inside a production line.
The right Machine Vision experience depends on the inspection risk and integration scope, not a fixed time period. A simple proof of concept may need focused image-processing expertise, while a production system calls for experience with validation, controls, downtime constraints and commissioning.
Machine Vision software, image analysis, documentation and offline testing can often be handled remotely. Camera installation, lighting adjustments, line trials and acceptance testing usually benefit from planned on-site collaboration in Germany.
Ask a Machine Vision professional to explain how they would control lighting, define tolerances and test edge cases. Review comparable inspection systems, sample validation methods, failure handling and the clarity of their technical documentation.
Machine Vision is a strong option when inspection is repetitive, difficult to document or affected by human fatigue. Manual checks may remain better for low-volume work, highly variable products or decisions that require broad contextual judgment.
A Machine Vision freelancer may deliver the camera and lighting specification, image-processing application, trained model where relevant, PLC or robot interface, test protocol and deployment documentation. Agree in advance on sample coverage, acceptance criteria, source-code ownership and support during commissioning.
The average hourly rate of freelancers in Germany who have used Machine Vision in their recent projects is 91 €, which corresponds to a daily rate of about 730 € based on an 8-hour working day.
Of the freelancers in Germany who have used Machine Vision in their recent projects, 90% hold at least a Bachelor's degree, 60% hold at least a Master's degree, and 20% hold a doctorate.
On average, freelancers in Germany who have used Machine Vision in their recent projects have 15 years of professional experience, with a single engagement typically lasting around 4.3 years.
The most common languages among freelancers in Germany who have used Machine Vision in their recent projects are German (100%), English (92%), and French (25%).
The most common industries among freelancers in Germany who have used Machine Vision in their recent projects are Manufacturing (100%), Information Technology (58%), and Automotive (50%).
The most common business areas among freelancers in Germany who have used Machine Vision in their recent projects are Product Development (92%), Information Technology (83%), and Quality Assurance (75%).
Main locations of FRATCH Experts, who have recently used Machine Vision
Our freelancers and interim experts are at home across the DACH region — available on-site in the major business hubs or fully remote. Choose a location to discover matched specialists, local market insights and up-to-date availability.
Berlin Hamburg Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg Request a free demo
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Philipp Thomaschewski
FRATCH CEO
