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Showing result 1 - 5 of 14 essays matching the above criteria.
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1. The design of evacuation alarms for people who are deaf or hard of hearing
University essay from Lunds universitet/Avdelningen för BrandteknikAbstract : The ability to hear is essential for receiving auditory signals, which serve as warnings and alerts in many situations, including fire evacuation. However, people with hearing impairments may miss out such signals and can be exposed to dangerous situations. READ MORE
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2. Gunshot Detection and Direction of Arrival Estimation Using Machine Learning and Received Signal Power
University essay from Linköpings universitet/Institutionen för systemteknikAbstract : Poaching is a persistent issue that threatens many of earth’s species including therhino. The methods used by poachers are varied, but many use guns to carry outtheir illegal activities. Gunfire is extremely loud and can be heard for kilometres. READ MORE
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3. Gunshot Detection from Audio Streams in Portable Devices
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Machine learning and artificial neural networks can be used to classify or detect specific sound events in audio signals. Gunshot detection is one use case for such networks and can be used to help law enforcement by alerting officers or triggering camera recordings. READ MORE
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4. Design Approaches to Alert Sounds for Interactions in Shops
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Shoplifting is a serious issue that causes loss to retail owners. However, the loss can be avoided by adding preventative measures to deter shoplifters from committing the crime. Surveillance [2] and a store's design and layout [3] are considered significant factors that could deter them. READ MORE
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5. Detection and Awareness of Short Alert Sounds in a Retail Environment : Towards using sonification to reduce shoplifting
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This study is part of a larger research project at KTH Royal Institute of Technology that focuses on reducing theft and shoplifting in stores using sonification as a method of surveillance and preemptive measures. We believe that by triggering sounds when store visitors interact with goods, it is possible to notify the shoplifter that they are being monitored, without disturbing the regular customer. READ MORE