WildeLife – InnoDeep.net

Saving wild lives Using Digital Twins and Machine Learning

In association with TheAlbanuFoundation: We are saving the lives of wild elephants using edge machine learning and Digital Twin concept, which blends and correlates real-time streaming IoT data together with other inputs. It then applies machine learning, AI, and advanced modeling techniques to create a dynamic virtual model. This includes, real time tracking and predicting their next movement and geolocation (using behavior informations such as how they act when they feel safe, angry, protective, etc) which make our solution usable offline.

Learn more about TheAlbanuFoundation

Camels tracking and health monitoring

Virtual presentation of camels environment, using real time data from IoT and Machine learning to monitor geolocation, healthcare and even predict next destination and location. Combined to satellite counting technics with AI, the dashboard will provide an exact overview of the camels including:
Counting using Satellite and AI,
Health monitoring,
Detecting calving data using palm-size sensor to monitor tail movement,
Body temperature, ruminating time, sleep and sitting time

We are developing solutions based on Internet Of Things, Machine Learning and digital twins, to locate animals, count herds, monitoring the animal's activities in real time, analyzing the data and the history of its behavior can be very revealing in predicting a disease. Data analysis and machine learning are used to predict the health and performance of livestock.

Internet Of Things

The core philosophy is to process most of the data precisely where that is being collected. This brings clear benefits to immersive/real-time applications that require low latency and often need to act on the data without external control.
We are using trackers integrating GPS/GNSS, MEMS sensors such as accelerometer, gyroscope and microphone.

Machine Learning

We apply machine learning at the edge level, where the data is being collected, and we transmit only key information or summaries such as poaching detection and last activities summary. Once key informations and animal behavior historic such as daily trajectory are collected and recorded at cloud level, we apply ML algorithms to predict animal location, which is crucial when we lose tracker signal.

Digital Twins

A digital twin is, in essence, a computer program that uses real world data to create virtual word that can predict how an ecosystem will perform. These programs can integrate the internet of things, artificial intelligence and software analytics to enhance the output. In short, creating virtual ecosystem, park, can allow location prediction, anticipate poaching by using advanced analytical, monitoring and predictive capabilities.

Saving wild lives Using Digital Twins and Machine Learning

TheThings Conference Amsterdam September 2022

Camels tracking and health monitoring

About Us

We provide animals realtime tracking, counting and protecting.

Internet Of Things

Machine Learning

Digital Twins