The power of
AI in your objects.
A less energy-consuming world, a more secure environment, a greater wealth of analysis and a simplicity of deployment, these are the 4 axes that motivate the entire Cartesiam team on a daily basis.
Sensors are the first interface between a physical environment
and the digital world
They play the fundamental role of collecting data for the understanding of physical, chemical or biological processes. So much so that sensors have become essential for the emergence of innovative systems in fields as varied as biometric data analysis, buildings control or engine monitoring.
These sensors are continuously exposed to an infinity of data relating to complex phenomenons and yet, you only treat a tiny part of the data you collected. This is the case, for example, of traditional vibration sensors that record and transmit vibration levels or shocks but are unable to analyze locally and in all their complexity this rich information.
At the origin,
there is the data
Your business depends more and more on data to increase your efficiency and enable you to adopt a smart response to market demands. Without data insight , you can’t act. The Internet of Things (IoT) generates a huge and ever-growing amount of data from sensors on the periphery of networks. These data are generated directly at the level of production infrastructures, far from data centers and concern all types of equipment and uses: access control, security, maintenance, metering, production, etc.
It is no longer relevant to send into the cloud 100% of the data generated at its periphery.
Until now, every bit of data from the objects was sent to your data center or a cloud, requiring network bandwidth, infrastructure and security, and then, were analyzed at great cost by expensive servers and analysis software, not to mention a significant energy consumption.
To meet this challenge, our mathematicians and experts in AI and signal processing have developed an artificial intelligence framework, NanoEdge AI (™). This machine learning technology, specifically designed for microcontrollers, allows data analysis directly at the source, creating algorithms running in the object.
We work every day to improve our technology so that you can extract more and more value from the data you generate at the edge. Our vision is of a world where Cloud and Edge architectures coexist to process data where it makes the most sense in terms of business relevance, security, latency and power consumption.