
Development and manufacture of industrial image processing solutions for inline inspection technology and process control
Hengstmann Solutions GmbH
83679 Sachsenkam (Am Reutberg 4)New on Amplifa
About Hengstmann Solutions
Hengstmann Solutions GmbH, based in Sachsenkam (Bavaria), has been developing and manufacturing demanding image processing solutions for industrial inline applications for more than 15 years. The range of services includes systems for quality assurance, process control, and code and character recognition. For more than two years, the company has been using deep learning and artificial intelligence in inspection technology, creating solutions that were previously not feasible with classical image processing. Application areas include textile inspection, fibre angle measurement, structure monitoring, cut edge inspection, caterpillar track inspection, and assembly guidance. In addition, Hengstmann Solutions supplies image processing systems for robots for positioning and pick-and-place automation, as well as sensor technology and data analysis for Industry 4.0 platforms. The inspection solutions based on deep learning are characterised by short creation times and can be adapted to changed tasks; new products can typically be trained within a few hours.
- Site
- Sachsenkam
- Processes
- Industrial image processing / inline inspection (quality assurance, process control, code and, Image processing systems for robots (positioning, pick-and-place, machine vision), Image processing systems for quality control, Industrial image processing solutions for inline applications, Deep learning and AI-based inspection technology, Textile inspection, Fibre angle measurement system, Structure monitoring
- Materials
- Deep Learning / Artificial Intelligence, Industrial Image Processing (Machine Vision), Industry 4.0 Sensor Technology and Data Analysis, Image Processing Systems for Robots
- Certificates
- ISO 9001
- Industries
- Quality Assurance/Inspection Technology, Textile Industry, Robotics/Automation
- 01
Requirements analysis of the inspection or control task
- 02
Development of the image processing solution
- 03
Integration of deep learning/AI methods
- 04
Manufacture and commissioning of the system
- 05
Data analysis and integration into Industry 4.0 platforms
Processes and Technologies
Deep Learning / Artificial Intelligence
Used in industrial inspection technology for tasks that could not previously be solved with classical image processing, with rapid training of new products.
Industrial Image Processing (Machine Vision)
Inline systems for quality assurance, process control, and code and character recognition.
Industry 4.0 Sensor Technology and Data Analysis
Platform-based acquisition and analysis of process data for process control.
Image Processing Systems for Robots
Machine vision solutions for positioning and pick-and-place automation.
Locations

Sachsenkam
DEHeadquarters: development and manufacture of the image processing systems
Solutions and Products

Inside the production


Industries
Processes & technical limits
| Processes | Tolerance | Max. part | Weight | Lot size | Materials |
|---|---|---|---|---|---|
| Industrial image processing / inline inspection (quality assurance, process control, code andInspection | – | – | – | – | – |
| Image processing systems for robots (positioning, pick-and-place, machine vision)Inspection | – | – | – | – | – |
| Image processing systems for quality controlInspection | – | – | – | – | – |
Additional services
Quality and Inspection Technology
At the core of the service offering are inspection systems for inline quality assurance, including code and character recognition as well as AI-based inspection technology. Certificates are not documented in the sources.
| Evidence | Sachsenkam |
|---|---|
| ISO 9001 |
History
- ~2004
Start of development and manufacture of industrial image processing solutions for inline applications (website status 2019: "for more than 15 years").
- ~2017
Use of deep learning and artificial intelligence in inspection technology solutions (website status 2019: "for more than 2 years").
- 2019
Trade fair appearance at CONTROL in Stuttgart (7.5.–10.5.).