Software takes machines and industrial plants into the cloud, and bridges heterogeneous control systems into distributed networks.
k3b develops software for your high tech applications.
Algorithms recognize patterns in big data and render manual processing steps redundant.
k3b combines data science and engineering and turns your data into actionable information.
Machine learning technologies can learn from historical data to assist in decision-making and assume autonomous control functions.
k3b develops innovative solutions for your challenges.
Predictive maintenance reduces the need for manual inspection and preventive routine-based maintenance on industrial equipment. Machine learning models are trained with historical data. Relevant data from the internet-enabled equipment such as sensor readings or PLC recordings are analyzed in real-time. The model detects abnormal behaviour, and can forecast probable events in the future.
In-time failure warnings and condition-based maintenance lead to cost-saving and reduce overall downtime. k3b can help to connect your equipment to the cloud, and build reliable prediction systems around your data.
Technologies such as video and audio fingerprinting make the recognition of audiovisual content possible, e.g. spots within a video stream. Text recognition (OCR), applied to camera images or single frames from video sequences, can be used to transcribe text insertions, hash tags for Twitter handles or car number plates. Automated Content Recognition (ACR) can automatically filter, classify or label content, or trigger synchronous events in other systems.
Hot Word Detection and Speech-to-Text technologies can enable you to operate your control systems or facilities with verbal commands - contactless and hands-free, and, if required, even offline.
Your business processes and analytics generate data. Customized reportings and live dashboards make complex data accessible, easily exportable and can correlate multiple data sources where your web analytics provider is rather restricted.
In addition to manual analyses, advanced algorithms can detect patterns in datasets too large for manual processing. Machine learning models, once trained with the characteristics of your business field and the data domain, can generate forecasts. Data science provides valuable tools and actionale insights for your business intelligence.