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Use Case 1.1: Indoor Positioning Recognition and People Counting

Use Case 1.1: Indoor Positioning Recognition and People Counting

Positioning recognition and people counting solutions play an important role in indoor contexts where it is necessary to monitor the number of people entering an industrial environment. Classical approaches to positioning recognition and people counting tasks employ...
Use Case 2.1: Autonomous Weeding System

Use Case 2.1: Autonomous Weeding System

Vegetable production imposes a wide variety of farming operations and among these operations, an early weeding is necessary to avoid competition between weed and crop. If the competition is too strong, the farmer can have huge yield loss. The classical solution is the...
Use Case 2.2: Tomato pests and diseases forecast

Use Case 2.2: Tomato pests and diseases forecast

Pest and disease are two main enemies for the agriculture growers and agrifood industry. A potential solution to tackle these issues is to introduce precision farming technologies through a pest and disease detection model that will allow the grower/industrial user to...
Use Case 3.1: Drones/USV

Use Case 3.1: Drones/USV

This use case compares formal neural approach with both spiking and hybrid ones for different kind of applications that are compatible with drone missions. It aims to implement several kinds of applications related to images acquired from devices evolving at high...
Use Case 3.2: Underwater Acoustic Signal Classification

Use Case 3.2: Underwater Acoustic Signal Classification

Underwater, the sound is propagated very far and with low propagation loss building a very noisy acoustic environment, called soundscape. Therefore, automatic underwater sound detection and classification is an essential tool for ocean monitoring through autonomous...