Algofaktur offers manufacturing companies a retrofit system for optical quality control and digitization of machine data for condition monitoring.
An improvement of the quality control is achieved by a new method, which uses machine data for evaluation in addition to high-resolution camera images.
By combining optical quality control with the merged information of other sensors (machine data), the quality and significance of the analysis can be improved. The customer can use the system to continuously monitor the condition of the machines and take suitable measures in good time, e.g. for maintenance (predictive maintenance). In addition, all digitized machine data can also be used to network production in order to support production data acquisition.
It does not matter from which manufacturer the production machines are and which interfaces they bring with them, as the required data is measured by the company's own sensors and transmitted wirelessly. In addition to the possibility of process optimization, the customer can carry out a 100% inspection of his products with the same precision without additional effort. This enables the customer to provide more precise information about the quality of his batch and ultimately increase customer satisfaction.
The unique selling point of the Algofaktur system is that companies receive both a digitalization of their machine data (with all advantages in terms of industry 4.0) and an automatic, optical quality control through an inexpensive system and can therefore continue to use their old machines in a modern and networked production environment.
Algofaktur offers algorithms and sensors as upgrade systems for industrial customers. Old machines are upgraded so that relevant machine data is captured and digitized by the sensors.
Foundation Date: 2019
Mentor: Prof. Dr. Beate Meffert
Faculty/Institute: Institute of Computer Science