We help you to Grow your business using IoT strategy, Data management, data quality and data governance.
AI DEVELOPMENT
We are looking forward to supporting you in your challenges around the use of AI development services. Learn AI with us and take the best out of it for your business. Using machine learning techniques,we create smart solutions to process sensor data at the network edge to extract the full potential of the system. Based on years of previous experience, our team can develop a solution tailor to your project for predictions, classification, anomaly detection, automation, and other applications selecting the most suitable approach.
Integrate data from multiple sources into a unified view that you can analyze and act on. This is necessary because an organization’s data is typically spread across multiple systems, applications, and databases, making it difficult to understand its operation. Our experts ensure that the integration is consistent and easy to use, resulting in accuracy.
Data Gathering
This is a key process in AI projects since the quality of the data highly impacts the performance of the final pipeline. Because of this, our team can help you design the data gathering process for each case to optimize the consumed resources in this step. At the same time, our team can supervise this process to ensure the quality of the collected data.
Exploratory Data Analysis
Once data is available, data must be analysed in order to understand its characteristics, how it can be used for a specific application, and what AI approaches can be used to examine it. Our AI services include thorough exploratory data analysis to ensure accurate and useful insights.
Hardware integration
Integration of the designed AI pipeline into hardware is a crucial step in some projects. This step is not direct since some hardware devices may impose some constrains for the AI pipeline such as AI techniques implemented or available resources. Our team has experience with this step to ensure a correct definition of the requirements for the AI pipeline as well as the optimization for the hardware.
Some of the hardware platforms used in previous projects include embedded devices, FPGAs or TPU devices such as Google Coral TPU and Jetson Nano. Hardware integration is a specialized service within our AI development services.
Expand your horizons with data-driven intelligence. With our expertise in machine learning and multimodal data, we work closely with our customers to discover and evaluate all the possible use cases and conduct feasibility studies.
Some of the fields covered in previous projects include:
One of the fundamental purposes of AI applications is to act as a “prediction engine” and provide insights to drive actions that improve operations and performance. Our team worked on collecting data from different sensors for indoor air quality prediction. To achieve this objective, our team designed a pipeline that pre-processes the raw data to extract relevant features that can be used for this application. Next, our team considered multiple AI algorithms and selected the best one considering the constraints of hardware limitations, as AI algorithms run on embedded devices. In this project, the final pipeline was later translated and optimized for integration into embedded devices.
Integrating AI pipelines is often a challenge for network edge solutions since they have certain limitations regarding energy consumption, latency and resources. Our team takes these limitations into account and defines hardware-oriented approaches based on years of previous experience working with edge devices such as embedded devices, FPGAs, and neuromorphic devices (Google Coral TPU or Jetson Nano)
AI can be used in a variety of IoT healthcare devices. Our team has experience working with biological signals such as temperature, pH, heart rate and sleep information to extract conclusions and design solutions for health monitoring. While working with those data, our team follows strict protocols to ensure data privacy when using delicate information from patients.
When developing solutions based on image sensors, such as camera sensors, a different approach can be followed to extract all the relevant information from the data. Our team has experience with multiple sensors such as camera and radar sensors where these techniques can be beneficial to better understand the information present in the frame, such as people position extracted from radar data.
With the miniaturization of a large number of products as well as the deployment of systems in remote scenarios, the challenge of monitoring the status of components and full systems has increased. Based on data studies during the life cycle of the components in a control scenario where data can be collected, it is possible to generate AI models that will be able to tell you on real time the component/system status based on a reduced number of parameters, leading to an increase in the efficiency of the maintenance tasks among other benefits.
Our team has years of experience working with a large variety of sensors through numerous projects. As a result, we have experience applying novel data processing and AI algorithms for sensors such as radar, camera, gas sensors and health sensors among others.
At eesy innovation, we go beyond just leveraging AI algorithms to achieve high-performance results; we rigorously validate our techniques to ensure reliability. Our approach includes comprehensive testing methodologies to guarantee robustness in real-
world scenarios, where unexpected events can occur. We meticulously validate our AI models using traditional techniques and applying rigorous statistical tests to assess their statistical relevance. This commitment to validation ensures that our solutions are not only effective but also trustworthy.
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