Machine Learning
For Ecological Monitoring
Machine Learning algorithms are a data-driven approach to automation and can enable the creation of advanced information extraction and data processing systems.
Such systems can automate many of the traditionally manual and time intensive data collection tasks.
Data Collection
A labeled data-set defines the purpose of the AI model. Therefore this initial step is crucial to the performance of the system. We can help you create the best data-set with manual or modern automated data labeling solutions.
Model Training
The collected and curated data-set is then used to “train“ a Deep Neural Network which learns the patterns and correlations between the data-set inputs and outputs. Using modern quantization and compression methods this final model is orders of magnitude smaller than the collected data-set.
We use modern state-of-the-art hardware designed specifically to run Deep Neural Networks as efficiently as possible. We can therefore use these models to continuously extract and log data from input sensors, such as cameras and microphones.
Device Deployment
