We use standard hardware whenever possible to reduce both development time and costs. Some projects have special limitations such as power, size or processing speed. In those cases we develop custom hardware to meet the requirements.

We use real-time DTW algorithms in many projects. For example, in our latest works, we have used it to recognize head movements in a hands-free human-machine interface running on limited microprocessors, or to extract respiratory and cardiac parameters from signals that are difficult to filter with traditional techniques.

With our own framework, we can deploy rich, fast, complex and dynamic web pages on devices like ESP8266 and ESP32. Using HTML, javascript, Bootstrap4, jQuery and Chartjs we created an embedded dashboard that allows easy configuration and monitoring of the device.

Most of our developments work as personal assistants, so the systems have to process the data in real time. We always thoroughly analyze the time constraints in order to select the right hardware, software strategy, power requirements and communication protocols to achieve that.

We use advanced processing such as the Kalman Filter in some of our solutions. For example, we have worked with a derivation of this filter to improve the performance of inertial sensors in a wearable device, which runs smoothly even on a microcontroller with severe memory and speed limitations. 

In most cases we need to store the data from the assistant device, perform an after-treatment task or, depending on some criteria, transmit its status via the mobile network. In these cases, we develop applications and interfaces that run on our servers in the cloud. Node js and Node-Red are our favourite flavours.

Our developments are so personalized that they are mostly unique. 3D printing has become a great ally in our laboratory. Whether it is complex sensors printed with special materials or simple waterproof boxes, we make intensive use of this technology, every day.

GPS. Accelerometers. Gyroscopes. Magnetometers. Environmental sensors. Electrochemical gas sensors. Radar. Piezoelectric sensors. We use sensors everywhere. In some cases we use 3D printing and special materials to create our own sensors.

We connect sensors to processors wirelessly in many of our projects. Bluetooth, BLE, WiFi, LoRa or NRF are some options. We use the wireless connection that best fits the characteristics of the project.  We use MQTT, HTTP or websockets for devices connected to the cloud.

Android devices have become ubiquitous. There are mobiles everywhere. Sometimes we take advantage of their sensors and their processing power. Sometimes we use them as an interface device between the user and the data. Whatever the case, we develop native applications for Android as part of the solution.