Artificial Intelligence & Data Science at syniotec
Innovation through AI and data science
Innovation is the driving force behind our solutions at syniotec. We provide insights into artificial intelligence (AI) and data science and show how we use these technologies in a specific way to achieve continuous improvements and optimise results for our customers.
Awards & Milestones
Current projects
Our team is working on a variety of exciting projects that push the boundaries of data analysis and artificial intelligence. These projects include solutions and processes aimed at increasing efficiency and reducing costs. Find out more about our latest initiatives.
Use Case I: AI-supported handover protocols
In addition to RAM, there is also the RAM app, which we have developed to optimise the handover process for construction equipment. With the help of integrated artificial intelligence, our application analyses photos of displays to accurately read tank levels and operating hours. In addition, the AI assesses the degree of soiling and detects potential damage, which not only saves time but also minimises sources of error. The precise recording of operating hours directly from the speedometer display is a milestone in creating significant added value for construction machinery rental companies. With our AI-supported handover protocols, we automate key processes and thus offer an efficient solution for the construction machinery industry.
Use Case I: AI-supported handover protocols
In addition to RAM, there is also the RAM app, which we have developed to optimise the handover process for construction machinery. With the help of integrated artificial intelligence, our application analyses photos of displays to accurately read tank levels and operating hours. In addition, the AI assesses the degree of soiling and detects potential damage, which not only saves time but also minimises sources of error. The precise recording of operating hours directly from the speedometer display was a milestone in creating significant added value for construction machinery rental companies. With our AI-supported handover protocols, we automate important processes and thus offer an efficient solution for the construction machinery industry.
Use Case II: Type plate recognition
During maintenance work, service technicians often document important information by photographing the machine’s type plate. However, manually entering this data into the internal system is time-consuming and error-prone. We have developed a prototype for automated recording using artificial intelligence. Our goal is to speed up the service processes and ensure the quality assurance of the captured data. The AI reads data such as model type, manufacturer, product identification number, total weight, year of manufacture and total output from the type plate to enable precise data capture.
Use Case II: Type plate recognition
During maintenance work, service technicians often document important information by photographing the machine’s type plate. However, manually entering this data into the internal system is time-consuming and error-prone. We have developed a prototype for automated recording using artificial intelligence. Our goal is to speed up the service processes and ensure the quality assurance of the captured data. The AI reads data such as model type, manufacturer, product identification number, total weight, year of manufacture and total output from the type plate to enable precise data capture.
Use Case III: Digital tank documentation
The refuelling of construction machinery by external companies often leads to a lack of objective evidence. Our app solution enables drivers to take photos of the type plate, display and petrol pump, which are then analysed by an AI. This ensures complete documentation of the individual refuelling of each construction machine. This method offers a reliable and transparent way of tracking the refuelling of construction machinery and ensures that all data is properly recorded and documented. At the same time, it offers the possibility of documenting the CO2 emissions of each machine.
Use Case III: Digital tank documentation
The refuelling of construction machinery by external companies often leads to a lack of objective evidence. Our app solution enables drivers to take photos of the type plate, display and petrol pump, which are then analysed by an AI. This ensures complete documentation of the individual refuelling of each construction machine. This method offers a reliable and transparent way of tracking the refuelling of construction machinery and ensuring that all data is properly recorded and documented. At the same time, it offers the possibility of documenting the CO2 emissions of each machine.
Your Contact
If you are interested in working with us, please do not hesitate to contact us. Get in touch for more information or to discuss potential partnerships.
DR. DIERCK SEGELKE
Head of Data Science & Innovation
d.segelke@syniotec.com
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With the solutions from syniotec we digitalise the processes on the construction site, create absolute transparency in your company and offer a complete, digital work process for the construction industry.
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