Munisense goes Africa
Our NP series sound meters open the hunt for poachers in Rwanda using their sound recognition feature. Read more...
Besides developing products and services, Munisense also handles the operational processes to keep applications running, like network monitoring and maintenance. We also develop OEM (Original Equipment Manufacturer) products. Please find some examples of our projects below:
The city of Leuven in Belgium limits noise nuisances from nightlife for its citizens and prevent damage to the hearing of the nightlife participants. The city has issued regulations that require establishments that play loud music to limit the sound levels and monitor these levels continuously. Munisense supplied the noise monitoring system to about 100 establishments and provides their management and the city with compliance data. The system consists of a sound meter, a display that shows the real-time sound levels, and an on-line portal to view violations and historical data. For more information please see www.horecasense.nl (in Dutch).
The Urban Sport Zone is located on Zeeburgereiland in Amsterdam. The largest skating rink in the Netherlands is located here. This one is 3100 m2 in size!
That is of course super nice in this new neighborhood. But there is also nuisance from skaters who make too much noise and often hang around too long.
Amsterdam wants to map this better and know when what happens. And then, with that knowledge, decide whether this can be reduced and with what measures.
For several months now, our noise meters have been registering the sounds at and around the Urban Sport Zone.
Based on the report of these measurements Amsterdam will look for solutions to reduce the nuisance for local residents.
Noise nuisance can become a real plague, endangering the quality of life for residents. With new technologies, the busy student city of Leuven will better map this persistent problem and, above all, tackle it more effectively.
Our partner in this project, Inetum-Realdolmen, published this article about it (in Dutch).
Instead of regulating traffic with traditional traffic management based on traffic flow, along the N208 provincial road in North Holland sensors have been installed to conduct research into air quality and noise.
The province of Noord-Holland uses these sensors to investigate whether there is a relationship between traffic and the measured data and whether the data can be influenced. If the data exceeds a certain limit, the province can make several adjustments to lower the limits. Adjustments such as reducing speed, diverting traffic or extending the green wave.
In November 2021 we installed the sensors along the N208 in Haarlem. The sensors measure the air quality (particulate matter and nitrogen dioxide) and the noise level. This data is linked to traffic data from the National Road Traffic Data Portal (NDW) and the data from the traffic lights on the N208.
The first results are known. The research shows that there is a measurable relationship between noise and traffic (intensity and speed), but not yet with air quality and traffic.
The follow-up study is currently ongoing to see whether a relationship can be discovered between the traffic indicators and the environmental indicators for both noise and air quality. Traffic management measures are also being designed to reduce the measured values. This is better for the environment and the quality of life increases. Examples of this can be: improving traffic flow by minimizing the number of stops, reducing the maximum speed or having parts of the traffic drive via a different route.
As it stands, we will be able to provide you with more information about the final results of this investigation along the N208 after the summer of 2022.
The World Health Organization (WHO) estimates that over one billion young people globally are at risk of hearing loss due to sound exposure in recreational settings. The risk of permanent hearing injury due to unsafe listening is both avoidable, and costly.
In the face of this growing threat, not only governments and public-health agencies but all those involved in the creation, distribution and amplification of music have a duty of care in understanding the sound levels to which audiences and consumers are being exposed, and creating environments that facilitate safe listening.
To address this, WHO, as part of their Make Listening Safe initiative, developed the Global standard for safe listening venues and events which provides a common understanding of safe listening in entertainment venues and events. The Standard comprises six “features” which, when implemented, allow audience members around the world to enjoy amplified music with protection of their hearing, while also preserving the integrity of the artistic experience.
The standard - as described in the WHO publication - consists of only six features. The first two are an upper limit of <100 dB LAeq, 15 min and live monitoring of sound levels.
Horecasense seamlessly fits in when implementing this WHO standard: for ear-safe entertainment venues and events.
Our Horecasense system has been providing 'ear-safety' for years in clubs, bars and entertainment venues in both the Netherlands and Belgium. In Leuven (B), all catering entrepreneurs who use amplified sound are obliged to use Horecasense.
Would you also like to know more about safe sound for your audience? We look forward to tell you more about it. Contact us on +31 (0)71-711 46 23.
Of course we have set up an informative website for you. Here you can also find all kinds of information about this: Horecasense
Can nighttime noise be registered without anyone reporting? And, could you even reduce it without involving the police?
Smart noise meters, an app for residents and nudging techniques are used to combat night noise in the busy Naamsestraat in Leuven (B).
Nudging techniques to reduce or prevent noise include dimming street lighting or projecting messages onto the street, such as 'People sleep here'.
What do we investigate?
We want to know how we can reduce disturbing street night noise in a non-repressive way. So by avoiding the problem. For this purpose, data is collected on nighttime noise that is used to better tackle the problem.
Naamsestraat as a case
Leuven is a real nightlife city. Nice of course, but it also brings nighttime noise with it. In 2020, the Leuven police received 2,639 reports of residents who were disturbed in their sleep. That is not at all pleasant, especially for those who have to arrive at work fresh and cheerful the next day. Research also shows that persistent noise pollution can cause health problems.
Helena Schulpé, coordinator of the night noise project: Night noise is mainly a problem in the 'trafficking streets'; streets that people use to go back home after their night out. The investigation is taking place in one of them – Naamsestraat.
We work in two phases. First we mapped out the problem as well as possible. That is why there are seven sound meters in the strip between the Heilige Geest College and the STUK Arts Center. They do not record conversations – that is prohibited by law – but they do analyze every nighttime noise: what is the volume, how high or how low does it sound, how long does it take, does it come from traffic, from people, from music? … ?
At the same time, we also asked residents to let us know via an app when they experience nighttime noise. Not every sound is disturbing. A very loud noise that lasts only a very short time won't necessarily wake you up. Conversely, a fairly quiet, low and long-lasting sound - bass sounds for example - can keep you from sleeping. By combining the results of the noise analysis with the reports from the residents, we can determine exactly what disturbing night noise is. And as soon as we know that, we will investigate in a second research phase what effect nudging techniques have on that nighttime noise.
‘‘Suppose one of the sound meters picks up noise at night, then we can, for example, dim the public lighting’
Various nudging techniques have been tested from January to December 2022. With real time nudges we try to tackle the problem as soon as it occurs. Suppose one of the sound meters picks up noise at night, then we can, for example, dim the public lighting or have it change colour. After all, research shows that soft or warm light calms people. Or we project a message on the floor, 'Please keep it quiet in this area' or 'People sleep here'. Or even switch on the lighting in some houses. This makes the noise makers aware that they are waking people up from their sleep.
Other nudges are not real time, but try to avoid the night noise. Due to the many buildings of the KU Leuven, Naamsestraat seems a bit deserted at night and revelers may get the idea that making noise is not a problem. That is why we want to give the street a more inhabited impression: plant more greenery, illuminate dark corners, place works of art, etc. This way passers-by see that it is a pleasant residential area, and hopefully that will encourage them to behave calmly.
Predicting night noise
But we're going to do more than just test nudging techniques. For example, we will also examine the effect of weather conditions or events on nighttime noise. For example, we will be able to predict better and better when the risk of night noise is high, and then we can have the police patrol more or deploy extra stewards. And of course the city and the police will continue to focus strongly – in addition to this research – on raising awareness about night noise.
Measuring is knowing
Because we will only monitor the noise in the first phase of research, and also intervene in the second phase, we can very well determine what has an effect and what does not. Does it help to project a message or adjust the lighting? Is a cozy environment the solution? Or should we let the police patrol more? So far it's gambling, but with this research we'll find out what really works.
Cloud engineer (AWS) for sensor-data SaaS platform
We are looking for an enthusiastic and communicative engineer to help our team and product ahead. Currently we are in the process of migrating from our own hardware to the AWS cloud. For our water product this migration is complete and for the noise product we are in the planning phase. We are looking for an enthusiastic engineer who wants to help us to start (and finish!) this transition.
Front-end developer for sensordata SAAS platform in Angular
We seek an eager and communicative engineer to help our team and product forward. We are currently migrating to a fresher techstack and are looking for a talented frontender to help us with this transition.
We continuously develop and update our products and services with the help of different partners. As a result we offer highly innovative services and products that generate value right away for our customers.