Graphical overview of the sensors used in Pilot 2 carried out in Catalonia (Spain):
![](https://www.awish-project.eu/wp-content/uploads/2024/04/pilot-2-update-graph-overview-1024x377.png)
Two sensors are already installed on the farm:
Enviro Detect: installed in December 2023 and collecting hourly data and sending weekly a report until February 2024.
![](https://www.awish-project.eu/wp-content/uploads/2024/04/pilot-2-update-the-probe-e1714461313441.jpg)
![](https://www.awish-project.eu/wp-content/uploads/2024/04/pilot-2-update-control-unit-e1714461298970.jpg)
Weight Detect: installed in March 2024 and has been calibrated. Currently, the sensor is collecting data and regular reports are sent to the farm.
![](https://www.awish-project.eu/wp-content/uploads/2024/04/pilot-2-update-weight-detector-e1714461374100.jpg)
![](https://www.awish-project.eu/wp-content/uploads/2024/04/pilot-2-update-weight-detector-second.jpg)
At the slaughterhouse, three sensors are already installed and another one is still under development:
Stunning effectiveness sensor: installed in October 2023. An automatic cleaning system for the glass panel behind which the sensor is installed is currently being developed to enhance the image quality. The first test has already been performed to obtain records for algorithm training and subsequent validation
Tear staining sensor: under development. Some manual tests were conducted to obtain images to develop the algorithm.
Lesion Detect: installed in September 2023. Some experimental tests were performed to obtain images of the lungs to develop the algorithm/software to automatically detect lesions. The efficiency of data storage and data distribution was improved by installing a NAS unit at the slaughterhouse.
![](https://www.awish-project.eu/wp-content/uploads/2024/04/pilot-2-update-lesion-detect-e1714461454533.jpg)
Next steps:
- Weight Detect: evaluate and fine-tune the measurements.
- Stunning effectiveness sensor: install the automatic cleaning system and start collecting images automatically to train the software.
- Tear staining sensor: continue hardware and software development to install the sensor as soon as possible.
- Lesion Detect: develop the algorithm using the images collected in the previous and future test runs.