Essays about: "sound event detection"
Showing result 1 - 5 of 11 essays containing the words sound event detection.
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1. DRONAR: Obstacle echolocation using ego-noise
University essay from Linköpings universitet/Institutionen för systemteknikAbstract : You do not want your drone to crash. Therefore, safety systems should be put in place to prevent such an event, and obstacle avoidance is a major part of this. Today, the most successful techniques use cameras or light detection and ranging (LIDAR) to find and avoid obstacles; but to improve resiliency, multiple systems should be used. READ MORE
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2. Industrial Machine Monitoring: Real-Time Anomalous Sound Event Detection on Low-Powered Devices
University essay from Lunds universitet/Matematisk statistikAbstract : Traditionally fault detection in industrial machinery has been performed manually by experienced machine operators listening to the machines. However, it is desirable to automate this process to increase efficiency and improve the working environment of the operators. READ MORE
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3. 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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4. Real-time Sound Analysis to Count Opening Cycles of Automatic Doors
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Counting opening cycles on an automatic sliding door is of great interest for a company manufacturing doors, such as ASSA Abloy. These metrics could be used for consumer statistics or for door diagnostics. Counting opening cycles is seemingly trivial when there is access to the door’s internal diagnostics or having adequate sensors. READ MORE
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5. Weakly-Supervised Diagnosis with Attention Models
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : With the rapid development of data-driven solutions, a high-quality dataset with fine labels can well tackle fault diagnosis problems. However, in industry assets, the quality of the dataset depends much on the experience and capability of the annotation engineer. Therefore, strong labels are usually hard and expensive to acquire. READ MORE