At the core of our development process is our platform. Consisting of hardware components, signal processing modules, data analysis tools and common software architecture.
We develop our own hardware which includes everything from broadband antennas and RF-modules to motor controller boards. We make sure every part of our design is optimized for the best possible interplay between each subsystem.
Our software solutions are developed with focus on performance, robustness and scalability. We carefully design our software architecture and select components that will help us achieve this.
C++ and GPU programming are at the core of our systems. Initial prototypes may be developed efficiently in Python but linked to C++ libraries for improved performance.
We use gRPC and protocol buffers for streaming data between components in our system. This is a framework known for it’s high performance and scalability.
By combining physics, acoustics and machine learning expertise, Equanostic is able to build solutions that can show new perspectives on the data. Furthermore, we have built some internal tools for data visualization that help us take our research and understanding of the data to even deeper levels.
Together with our partners we are able to provide complete solutions involving:
We develop software across the entire stack. This includes hardware interfaces, high-end embedded systems, cross platform applications, machine learning pipelines and visualization of data with 3D rendering and shaders. When designing software we focus on GPU programming, optimization, scalability and reliability.
We develop our own hardware which includes everything from broadband antennas and RF-modules to motor controller boards. We make sure every part of our design is optimized for the best possible interplay between each subsystem.
Signal processing is an important element in many aspects of our daily work and our team are experienced with SAR, doppler and image processing, as well as inertial measurement processing, filtering and optimization. Our team has leading expertise both within impulse radar and ultrasonic signal processing, making pulsed and broadband signal processing one of our specialties.
Our understanding of radar and ultrasonic wave behavior enables us to analyse measurements in detail. Through advanced processing methods we can precisely calculate information that is not visible to the eye. We utilize machine learning to automate and enhance our interpretation of sensor data and to analyse large, complex datasets from multiple sensors.
Sensor technology can be used for a wide range of problems. Together with our partners we are developing solutions across many application areas, ensuring everything is as it should be in those critical and difficult to access places.
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