Camels tracking and heath monitoring

About Us

We provide animals realtime tracking, counting and protecting.

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.

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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.

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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.

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