High-speed Camera Setup
High-speed Camera Setup - Related Videos
05:31
Imaging and Quantification of the Area of Fast-Moving Microbubbles Using a High-Speed Camera and Image Analysis
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Cited by 4 •
2020
Cavitation microbubbles are imaged using a high-speed camera attached to a zoom lens. The experimental setup is explained, and image analysis is used to calculate the area of the cavitation. Image analysis is done using ImageJ.
11:59
High-speed Particle Image Velocimetry Near Surfaces
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Cited by 19 •
2013
A procedure for studying transient flows near boundaries using high-resolution, high-speed particle image velocimetry (PIV) is described here. PIV is a non-intrusive measurement technique applicable to any optically accessible flow by optimizing several parameter constraints such as the image and recording properties, the laser sheet properties, and analysis algorithms.
10:13
Hemi-laryngeal Setup for Studying Vocal Fold Vibration in Three Dimensions
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Cited by 12 •
2017
This paper introduces a protocol for the preparation of hemi-larynx specimens facilitating a multi-dimensional view of vocal fold vibration, in order to investigate various biophysical aspects of voice production in humans and non-human mammals.
08:34
Visualization of High Speed Liquid Jet Impaction on a Moving Surface
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Cited by 4 •
2015
Two experimental devices for examining liquid jet impingement on a high-speed moving surface are described: an air cannon device and a spinning disk device. The apparatuses are used to determine optimal approaches to the application of liquid friction modifier (LFM) onto rail tracks for top-of-rail friction control.
13:31
High Speed Sub-GHz Spectrometer for Brillouin Scattering Analysis
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Cited by 42 •
2015
Here we present a protocol to build a rapid Brillouin spectrometer. Cascading virtually imaged phase array (VIPA) etalons achieve a measurement speed more than 1,000 times faster than traditional scanning Fabry-Perot spectrometers. This improvement provides the means for Brillouin analysis of tissue and biomaterials at low power levels in vivo.
FAQs
A high frame rate samples motion more frequently, while a short exposure time limits the distance an object moves during each recorded frame. Together, these settings reduce motion blur and make rapid changes easier to distinguish. Engineers can therefore compare successive images to estimate speed, displacement, and failure behavior.
Synchronized lighting coordinates illumination with the camera’s recording sequence, helping preserve image quality and timing accuracy during a rapid event. Without suitable illumination at the relevant moments, important motion may be harder to see in individual frames. Proper synchronization supports clearer analysis of impacts, deformation, fracture, fluid flow, and combustion.
These components support different parts of measurement reliability. A suitable lens helps capture the event clearly, stable mounting prevents unwanted camera movement, and adequate data storage preserves the large volume of recorded frames. Together, they help maintain usable image quality and consistent timing for frame-by-frame engineering analysis.
Preparation begins by configuring the camera for the event’s rapid motion, including a suitable frame rate and short exposure time. Engineers then arrange synchronized lighting, select an appropriate lens, secure the camera on a stable mount, and confirm sufficient storage. This coordinated setup helps preserve images and timing throughout the recording.
Engineers choose this approach when an event occurs too quickly for direct observation to reveal its behavior. Applications include studying impacts, fracture, fluid flow, vibration, combustion, and mechanical deformation. Recording these events makes transient changes available for later examination, supporting design validation, troubleshooting, and development of safer, more efficient products.
Frame-by-frame recordings can provide measurements of speed and displacement while also showing how failure develops. Engineers can use the visual evidence to examine mechanical behavior, identify problems, and compare observed performance with design expectations. These outcomes support validation and troubleshooting by connecting a product’s behavior to the rapid event that produced it.