The critical role of AI in earth observation
Earth observation systems generate huge amounts of data. How can AI help process and analyze this data to reduce cost and improve efficiency.
Preserving EO data quality through in orbit calibration
Accurate and precise data is extremely important in remote sensing. Learn how to monitor and calibrate optical payload of satellites in orbit.
Optical design enabling earth observation innovation
Developing micro- and nanosatellites is not without challenges. In this session, Lambda-X shares insights on maintaining imaging quality, differentiating from competition and reducing costs and time.
Daily global satellite coverage drives EO adoption & commercialization
Learn about Aerospacelab’s MultiSpectral Companion Mission and how it is set to overcome one of the biggest bottlenecks in EO application: satellite coverage revisit frequency.
How to outsmart the component shortage of sensor ICs
Discover how virtual sensors create application scalability, upgradability but most and for all new values without additional hardware costs.
Machine learning MEMS, enabling affordable costs & power consumption
Machine learning MEMS (Micro-Electro-Mechanical Systems) are finding a growing number of applications in transport, smart homes, entertainment, personal assistants and IoT.
eWatch, using AI to track blood pressure
Is is possible to perform accurate blood pressure measurement through a smart watch? Find out about the opportunities of wearable PPG devices.
Car sensor data improving road weather services
Road safety & weather predictions will benefit from real-time car sensor data. The type of sensor & placement influences the data quality.
The next era of cordless IoT devices
The future will be for cordless. How do you deal with the complexity of developing battery powered devices?
Finding the balance between user, (adjacent) market & technology
In this webinar we discuss how to launch successful products that fills the customer needs, has market potential & is technically feasible.