Bioacoustics is a cross-disciplinary science which combines acoustics and biology. Bioacoustics sensing combine sensing technology, biology, machine learning, and acoustics technology. It refers to investigation of the sound production, and dispersion and uses digital technology that includes software and devices that are used to analyze and record the sound.
Bioacoustics sensing is used for identifying, locating the animals and their condition and is also used in humans for medical applications, such as detecting cancer, reducing cancer tumors, monitoring blood pressure, respiratory system monitoring. Bioacoustics sensing is also used in consumer electronics such as smartphones, laptops and wearable devices.
Bioacoustics sensing is gaining popularity in sectors including healthcare and wearable consumer electronics. It is also used in agriculture and ecology for identifying and detecting the parasites to protect crops.
Ultrasound have become useful tool for doctors in the COVID-19 pandemic as it helps doctor to monitor COVID-19’s tell-tale lesions just below the pleura, the membranes that envelope the lungs and body as well. The ultrasound is used to manage the COVID-19 lung and cardiac complications.
Ultrasound is effective in imaging peripheral lung tissue affected by pneumonia. COVID-19 patients are at risk of cardiac complication as respiratory strain causes cardiac dysfunction so the cardiac ultrasound examination is used to analyse the effects that disease progression may have on heart function.
Due to features such as portability, compact, ergonomic design helps to easily adapt to various clinical spaces, such as emergency rooms, and operating rooms and so the demand has increased for the ultrasound recorder market in 2020.
Increasing Adoption of Machine Learning Algorithms in Bioacoustics Sensing
Bioacoustics data provides engineering and scientific insights in various field such as machine interpretation of human speech, ocean source localization, animal vocalization, and imaging geophysical structure in the ocean.
Data analysis in all these fields is difficult task due to challenges like missing measurement, data corruption, reverberation and large amount of data. As the dataset size increases the human effort required for manually identifying the acoustics features becomes limited. Machine learning techniques are used for pattern recognition across various fields including acoustics.
Machine learning in bioacoustics sensing helps to estimate the data labels based in measured attributes such as species of animal or their location based on recordings from acoustic arrays as these labels and measurements are uncertain.
Machine learning in bioacoustics sensing provide superior performance relative to conventional signal processing methods. Unsupervised learning algorithms are used for exploratory data analysis, anomaly detection, data visualization, and feature learning.
Due to lack of knowledge and skilled resources for using bioacoustics sensing technology is restricting the growth of the market. As the technology is emerging in the market the deployment of the technology is less due to which there is less number of bioacoustics sensing solutions and hardware providers which is slowing the growth of the market.
Hence, due to lack of awareness among the users there is less adoption of bioacoustics sensing technology and this factor is restricting the growth of the market.
The key players in the Bioacoustics Sensing are -
The report is a compilation of first-hand information, qualitative and quantitative assessment by industry analysts, inputs from industry experts and industry participants across the value chain of the global Bioacoustics Sensing market.
The report provides an in-depth analysis of parent market trends, macroeconomic indicators and governing factors along with Bioacoustics Sensing market attractiveness as per segments. The report on Bioacoustics Sensing market also maps the qualitative impact of various factors on Bioacoustics Sensing market segments and geographies.
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