CONTEXT

Intrusive noise creates stress, disrupts peoples productivity, their ability to relax and their sleep.  Noise has also been proven to have significant long term impacts on peoples mental and physical health

NoiseNet provides councils, local government and others with low-cost, automated noise monitoring technology and services.  Our objective is to play a key role in delivering a quieter world, for the benefit of all.

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We believe that more frequent and better noise data allows communities and particularly noise regulators to make better decisions.  We currently use IoT devices in the field to gather audio data, then use AI and acoustical analysis processes to extract usable information from that audio.  Examples include:

• Measurement of frequency and intensity of nuisance dog-barking

• Measurement of use and noise levels of air-conditioners

• Measurement of noise emanating from business or recreational facilities to compare with standards (24/7)

 

Our AI allows us to separate out the noise from the nuisance source from all other noise sources, ensuring the data is relevant.

 

OUR CUSTOMERS have been telling us that they want to be able to determine noise sources more specifically.  E.g. from which yard the dog barking is occurring, which of the A/C's is being used at night, which construction site is starting work too early.

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To resolve these challenges we are building a directional microphone array system.  These are not new - we are borrowing from established technology, but we are building them on a much cheaper basis and by incorporating this data with our AI and Acoustical analysis we believe we will deliver a unique service/product that noise regulators can use on a daily basis to improve their efficiency, to make better decisions and to ensure that they HAVE THE BEST AMMUNITION TO WIN IN COURT.

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PROJECT PLAN

Phase 1 Lab Proof of Concept (currently underway) is to build a lab-scale proof of concept.  We are using dev-boards to gather the data and are building a few different concepts to check what will work best from a range of criterion (accuracy, speed of results, cost of equipment, data transmission requirements and power consumption.  This will also include the development of the math and code to drive the system.  We anticipate this will be completed within 2 months (by End January).

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Phase 2 Prototype Build This involves building a robust, field ready prototype device to carry out further trials in operational environments and to ensure that the build is robust, weatherproof and functional.  In parallel with this activity we will also be building the onboard software for robust field operation as well as the back-end analysis tools and report presentation capability so we can deliver the customer with the results.  We believe this is a 2 month exercise (by end March 2019)

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Phase 3 Manufacture, Field Testing This involves the supply, assembly, testing and shipping of the devices.  The build of the devices will be robust but simplistic.  It is not a mass-manufacture device at this stage.  The initial batch of devices (10-22) will be shipped to our supporters towards the end of this phase - initially in QLD so we can get field test results and properly support the initial deployments (and find/fix any bugs or issues), then shipping to customers in Australia (then internationally).

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International delivery will take longer, and we will also need to ensure mobile service connectivity in those locations.  So unfortunately you may be last-in-line to receive your devices, but we will still target to have them to you by end May 2019.

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OUR TEAM

NoiseNet has an awesome technical and project management team.  I guess that is boasting, but I really mean it.  The project team is:

• John South: A physicist with significant experience in the Acoustics sector (work and play) including experience in managing noise complaints as an acoustical consultant.

• Matt Watson:  A physicist with next-level math, analytical and creative capabilities, he will lead the technical development process.

• Jake Donovan-Parker:  A final-year engineering student working on his thesis and doing the dirty work

• Stuart Clough:  A 25 year experience engineer with project management experience in manufacturing, industrial projects and IT and experience delivering projects of over $500M in value (on-time)

• Wilmer Yan:  Our AI guru - who will not be central to the project but will help tie-in the AI/Analysis tools to the directional sensing ensuring the device delivers the best outcomes for you as a customer.

• Andrea Pena and Tom Rooth:  Our manufacturing specialist team who will support the prototype development and manufacturing build.

 

We also consider our customers as members of the team.  We want to consult regularly, share our progress and ask for guidance on how our development will have the maximum impact for you.  So if you have the time to talk with us, you can add your name to our team

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Success in this project is central to our business plans - we have no choice but to make a success of this project.  Delivering the right outcome for you is the only way we can move our business to the next level.

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PUBLIC RELATIONS

As a start-up we are always looking for news coverage and publicity.  We also know that councils and governments always want to publicise their successes at being at the forefront of new technologies to improve their services.  We will constructively work with you to support any PR activities you want to undertake.  We will also make sure to publicise each supporter whenever we are out talking about our services and technical developments.

We don't have a dedicated PR team - but can certainly work with you to get the necessary pieces in place to support any activities you have planned.