The stages in building confidence
In any production process, trust is more than just a desirable quality, it is the foundation upon which long-term success and partnerships is built.
ISO 9001 certified
Our ISO 9001:2015 certification, awarded by Bureau Veritas, reflects our strong commitment to quality and continuous improvement.
This international standard places a strong focus on risk-based thinking, requiring us to identify potential risks and opportunities that could impact the quality of our products and services. We take proactive measures to address these factors, ensuring consistent excellence.
To maintain our certification, we have robust processes for monitoring, measuring, analyzing, and evaluating the effectiveness of our Quality Management System (QMS). Regular external audits and management reviews allow us to detect areas for improvement and implement corrective actions whenever necessary.
Successfully passing the rigorous audit confirms that our QMS meets the highest international standards. This recognition not only strengthens customer trust and satisfaction, but also gives us a clear advantage.
Extended Kalman filters
The Extended Kalman Filter (EKF) are powerful algorithms widely used in inertial sensor systems to estimate states such as position, velocity, and orientation in real-time.
Unlike the standard Kalman filters, which assumes linear dynamics, the EKF are designed to handle the nonlinear relationships inherent in inertial sensors like accelerometers and gyroscopes. By linearizing the system around the current state estimate, the EKF predict the next state and updates it using sensor measurements, effectively reducing the impact of noise and biases.
We have developed cutting edge data fusion algorithms, tailored for the inertial navigation needs. Depending on platforms, we operate either loosely or tightly coupled INS/GNSS extended Kalman filters (EKF) to enable the best performance in each application whether it is aerial, terrestrial, or marine.
Advanced motion profiles
Motion profiles for inertial sensors are mathematical or algorithmic representations of movement patterns that describe how velocity, acceleration, and position change over time.
These profiles are essential for interpreting raw data from accelerometers, gyroscopes, and magnetometers, enabling accurate tracking of an object’s motion in 3D space. By modeling specific patterns, such as linear, rotational, or complex dynamic movements, motion profiles allow systems to predict and compensate for errors like sensor drift or noise.
We take a great care in refining our IMU and aiding equipment error models to ensure optimal performance is obtained with a wide range of equipment: IMU, GNSS, Dual antenna heading, magnetometer, odometer (DMI), DVL, and others.
Our navigation filter also integrates your specific vehicle constrains, like automotive dynamic constraints, or marine enhanced altitude computation.
