stored in the cloud, they would extract this features out of it and try to correlate it. you can say correlation is a process where you try to look at how they look mathematically and try to find similarities in time or efficacy domain, and then the cloud would return you the location of the leak. this system is underpinned by a massive archive of audio files hundreds of thousands of recordings of leaky pipes from around the world. not only does this inform the cloud correlation, but it should let the ai identify any given leak. but how effective is it? previously, using old techniques, we ve had like a 50% success rate. so, out of areas that we go into, 50% of the time we come out with the leak we are looking for. what fido has enabled us is to increase that by 20%, so that s up to 70% now in total. it is allowing us to be targeted and where we raise a leak, that we know it is a leak there.
of a! that looks for the noises that leaks make, but also filters out the other noises that lea ks don t make. neil and his team place these sensors under a drain cover overnight. it s now time to retrieve them. what s the next stage in that process? so, basically, we use the app now. so, this little device is bluetooth, bluetooth talks to the phone, and the phone then talks to the cloud, and all the analysis is done in the cloud. the graph tells you that consistent noise, firstly, and then a! has said ok, i have taken that noise, recognised it, and it is a small leak. hissing noise. oh, wow! so, that is the actual sound of a leak? right now on the system. so, it is a live capture, effectively, so you can go ok, yeah, i agree with the ai it is a leak . these are the audio signals we have recorded and it is the status of the leak we have detected. this part of the process is called cloud correlation. it s been developed by professor muhammad zeeshan shakir at the university of th
features out of it, and try to co ordinate it. you can say correlation is a process where you try to look at how they look mathematically and try to find similarities in time or efficacy domain. and then the cloud would return you the location of the leak. this system is underpinned by a massive archive of audio files, hundreds of thousands of recordings of leaky pipes from around the world. not only does this inform the cloud correlation, but it should let the ai identify any given leak. but how effective is it? previously using old techniques we have had a 50% success rate. so out of areas that we go into, 50% of the time we come out with the leak we are looking for. what fido has enabled us is to increase that by 20%, so that s up to 70% now in total. it is allowing us to be targeted and where we raise a leak, that we know it is a leak there. ai powered sensors like fido s have not completely replaced
we use the app now, this little device is bluetooth, bluetooth to the phone, and the phone then talks to the cloud and all the analysis is done in the cloud. the graph tells you that consistent noise firstly, and then a! has said ok, i have taken that knowledge, recognised it, and it is a small leak. hissing noise. oh, wow! so that is the actual sound of a leak? right now on the system. so it is a live capture effectively so you can go 0k, yeah, i agree with the ai, it is a leak. these are the audio signals we have recorded and it is the status of the leak we have detected. this part of the process is called cloud correlation. it s been developed by professor muhammad zeeshan shakir at the university of the west of scotland. when you have audio files stored in the cloud, they would extract this features out of it, and try to co ordinate it. you can say correlation is a process where you try to look at how they look mathematically and try to find similarities in time or efficacy domain.
of a! that looks for the noises the leaks make but also filters out the other noises that leaks do not make. neil and his team place these sensors under a drain cover overnight. it s now time to retrieve them. what s the next stage in the process? basically we use the app now, this little device is bluetooth, bluetooth to the phone, and the phone then talks to the cloud and all the analysis is done in the cloud. the graph tells you that consistent noise firstly, and then a! has said ok, i have taken that knowledge, recognised it, and it is a small leak. hissing noise. oh, wow! so that is the actual sound of a leak? right now on the system. so it is a live capture effectively so you can go ok, yeah, i agree with the ai, it is a leak. these are the audio signals we have recorded and it is the status of the leak we have detected. this part of the process is called cloud correlation. it s been developed by professor muhammad zeeshan shakir at the university of the west of scotland. when yo