Our Sound Event Detector utilises state of the art AI & Machine learning techniques to identify, classify and alert of malicious sounds
Making the world safer, a sound at the time
Our Sound Event Detector utilises state of the art AI & Machine learning techniques to identify, classify and alert of malicious sounds
Nice! It could be a 'noise alarm' like a 'smoke alarm'.. when gadgets in the house are over a noise limit, then it's time to reduce noise in the house.
This is neat! I could see this for popular streets where shops have this installed on a device right outside their doors. Or just neighborhoods… my question is how would this work for neighborhoods if most people have their devices located inside?
Hi @Lakshmi that also sounds like a good idea! We focus mostly at this moment with impulsive sounds to react quickly but yes why not in the future !
Hey there PH!! Bas here ✌🏼, Im in charge of Operations for our Sound Event Detector. Very Excited to introduce our solution! Our Sound Event Detector uses state-of-the-art Machine Learning techniques with optimised deep neural network architectures running on low-power MCUs in real time We can detect and alert and unwanted event in less that 2 seconds 🚓 - Privacy: no sounds are recorded, they are categorised - Coverage: traditional cctv cameras are limited in the areas they can cover, we cover e
Check the similar products section on this page, or browse the category pages linked in the tags above. Each category page shows all products for a given year, sorted by engagement.
A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.
Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.
Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.