FishLab’s technology is easy and effective.
The FishLab’s infrastructures continously films the presence of fishes. The recording is permitted by the use of infrared light.
Every monitoring station is connected to a central server which collects the videos coming from different stations.
All the recordings are sent to a centralised data bank and are analyzed respecting the confidentiality of the data. Algorythms based on artificial intelligence analyse the video.
The results are validated by biogist in order to then update the algorythm of the central server.
Fishes going through the stations of observation are not subjected to any human stress : they are not captured nor submitted to any stress which could influence or deteriorate their physiology or natural behavior.
Our technology is based on three algorytms powered by artificial intellingence capable of analysing the fishes and noticing the presence of fishes, determine and count the species by individual count. The site, the hour of passage and the size category are automatically registered in the data bank.
Our method of analysis creates pertinent results. It allows a standardized comparison interspecies and between different sites of observation. The weight-lenght relation of the different individuals is determinded according to the different species in order to instantneously record the flow of the invididuals. We also propose statistical tests in order to verify any correlation with environmental and weather data.
The interconnected sensors allow our technology to follow the fish flow in our equipped stations. An application allows to fish technicians to visualize the results of the algorythms in situ, and to correct them when necessary.
Our stations of observation generally need to be cleaned every two weeks. The inner part of the station has to be cleaned few times a year with a simple and efficient cleaning system.
The use of artificial intelligence allows the data collection, the analysis and the storage in a quick and efficient way. This allows a reliable production of the data and assures the efficiency of the monitoring.
The data of all the stations are used in order to improve the performances of the algorythm. This latter allows the decrease of insfrastructure costs, and improve the efficiency of the whole system as time goes by.
The volume of the data is decreased at the minimum. The centralisation and the data storage are made in the minimum time lapse in order to provide optimized cost-efficiency.
The data are collected confidentally in every station. Data sharing within our system is purely made in order to improve our algorythms. The data are anyways not shared with third parties.
Our process of counting is made in an ethical way and does not influence the physiological status of the fishes. The collection, the conservation and the treatment of the data are made in order to minimize the energetic cost.
FishLab allows the continous collection of a databank thank to a compact and robust obervation station : this is the core of our technology.
FishLab observation station :
– resists to flows
– permits the data collection in turbid waters
– is equipped with infrared light
– locally collects videos, and a copy is sent to the local server.
Discover FishLab observation stations!
Our business model is based on our stations of observation. We are owners of the infrastructures, but the data are yours, by yearly loan. This permits to improve the quality of the data, and assures the maintenance of the data in the long term.
Thanks to the use of the big data FishLab allows the development of the protection of fishes’ biodiversity. Our goal is the creation of a non-invasive system, precise and based on the power of the machine learning.
First production in series of the station of observations and beginning of the developmet of a centralised informatic station.
Technical improvement of the station of observation, with test of the monitoring. Beginning of the collaboration with the startup incubator of the Ark Foundation and opening of the office in the Energypolis Campus.
Development of a new obervation station equipped with an algorythm allowing the detection and the determination of the species.
FishLab began the project in Geneva with a research project developed by Corealis. Three barrages of the Rhône are provided of a station of control which is continously filmed and permitted the recording of different species. This project lasted three years, and provided the data used in the sites of Geneva.
External developer collaborating to the project
Research And Development Engineer HES-SO
Professor supervising the project
External developer collaborating to the project
Do you want to know more about FishLab, the installation of an observation station or the results we obtained till now ?
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