3D s.r.o.
About
About 3D s.r.o.
3D s.r.o. engineers robot cells around a specific manufacturing process, combining industrial robots, fixtures, welding or handling equipment, safety systems and machine vision. Offline simulation and digital models are used to test reach, collisions, cycle time and material flow before equipment is installed on the customer’s production floor.
Its wider engineering work includes machine vision and AI-assisted visual inspection, including weld-quality assessment, alongside analytical systems for gaseous, liquid and solid process samples. Delivery runs from process design and offline simulation through mechanical and electrical engineering, installation, commissioning and production support.
Team
- Peter Szakáll - Automation Contact - Named official contact for the company's automation business.
- Milan Celler - Process Analytics Contact - Named official contact for the company's process-analytics business.
Research
- 3D publishes AI weld-inspection case study
2021-08-06 - Research Publication - The case study applied object detection to visual inspection of an automotive central-carrier weldment. The system assessed weld geometry, discontinuities, burn-through, porosity, spatter and missing fasteners. Detected object positions and counts supported dimensional measurements and automated weld-quality decisions.
Source - 3D publishes maintenance guide for continuous emissions monitoring systems
2020-10-01 - Research Publication - The guide compared in-situ and extractive measurement architectures used in automatic emissions monitoring systems. It identified critical maintenance points including probes, filters, pumps, sample coolers, seals and energy supplies. It outlined preventive checks and QAL3 quality procedures intended to support the required monitoring availability.
Source
Timeline
Events
- 2021-09-24 - Demonstration - 3D presents AI weld-quality inspection at National Welding Days 2021
Peter Szakall presented 3D s.r.o.s work on artificial intelligence for visual weld-quality assessment. The presentation covered defect detection for spot and arc welds, spatter, fastener orientation and component presence. 3D showed how application-specific models can improve the reliability, speed and repeatability of industrial inspection.
Source - 2021-08-06 - Research Publication - 3D publishes AI weld-inspection case study
The case study applied object detection to visual inspection of an automotive central-carrier weldment. The system assessed weld geometry, discontinuities, burn-through, porosity, spatter and missing fasteners. Detected object positions and counts supported dimensional measurements and automated weld-quality decisions.
Source - 2020-10-01 - Research Publication - 3D publishes maintenance guide for continuous emissions monitoring systems
The guide compared in-situ and extractive measurement architectures used in automatic emissions monitoring systems. It identified critical maintenance points including probes, filters, pumps, sample coolers, seals and energy supplies. It outlined preventive checks and QAL3 quality procedures intended to support the required monitoring availability.
Source