Computer Vision

Computer vision is a field of artificial intelligence that focuses on enabling machines to understand and interpret visual data. With computer vision, machines can locate, identify, and count objects in images and videos. This technology has revolutionized industries such as healthcare, manufacturing, and autonomous systems, allowing for more efficient and accurate analysis of visual information.

Computer Vision for Camera Trap Analysis

Computer vision plays a crucial role in analyzing wildlife in motion-activated game cameras, "camera trap," images and videos. By leveraging advanced algorithms, computer vision can automatically detect and track animal species, identify individual animals, and monitor their behavior. This enables researchers to gather valuable insights about wildlife populations, habitat usage, and ecological patterns.

Drone Image Analysis

Drones equipped with cameras generate vast amounts of image data, and computer vision algorithms can be applied to extract meaningful information from these images. Computer vision enables tasks such as object detection, land cover mapping, and aerial surveillance. By harnessing the power of computer vision, drones become powerful tools for various applications, including agriculture, environmental monitoring, and infrastructure inspection.

Fluid Analysis

Computer vision techniques are revolutionizing the analysis of substances within fluids. With advanced algorithms, computer vision enables automated detection, classification, and quantification of contaminants, biological particles, turbidity, and more. These capabilities have profound implications in various domains, including environmental monitoring, water quality assessment, and biomedical research. By leveraging computer vision, it becomes possible to identify and analyze contaminants like microplastics and chemical pollutants, detect and quantify biological particles such as algae or mold, and accurately measure turbidity. These automated analysis methods offer advantages in terms of efficiency, accuracy, and scalability. They reduce reliance on manual inspection, enabling rapid, consistent, and objective analysis of fluid samples. At QSC, we specialize in applying computer vision techniques to fluid analysis, offering tailored solutions for diverse industries and research domains.

Examples of Peer-Reviewed Scientific Publications

QSC scientists have contributed to the field of computer vision through their research and publication of peer-reviewed scientific papers. These publications cover topics such as object detection, classification, localization, and counting. Explore our publications to learn more about our cutting-edge contributions to the field:

Interested in Working with Computer Vision?

If you are passionate about computer vision and want to explore its potential in your business or research, we at QSC are here to help. Our team of experts can provide tailored solutions, consultation, and collaboration opportunities in computer vision. Contact Us to discuss your specific needs and discover how computer vision can drive innovation and success in your endeavors.