Test & measurement
is extensively used as a safety feature integrated into vehicles. This is an optical measurement technique which helps to map environments, identify obstacles and assist with vehicle navigation.
The technology works by measuring the time it takes for light pulses to travel to an object and return to the sensor. This is particularly important for vehicle safety systems, as it helps create accurate 3D maps of the surroundings to avoid potential collisions. Additionally, optical sensors are used in automotive manufacturing to check for defects in parts, ensuring the integrity of components such as headlights, sensors, body panels. Light-based measurement systems also aid in testing the performance of air conditioning systems, inspecting exhaust emissions, and monitoring fuel efficiency, as well as detecting harmful gases. In both water quality and food safety, optical metrology systems are essential tools for detecting contaminants and ensuring that products meet regulatory standards. Water quality testing, for example, involves measuring the concentrations of various chemicals, such as dissolved gases, salts and microorganisms. Methods vary but dissolved organic molecules commonly exhibit strong absorption in the ultraviolet
(UV) range. This method determines organic pollutants present in industrial drainage and river water by measuring the pollutants’ absorbance of UV light. One approach to nitrogen measurement is converting dissolved nitrogen into nitrates. UV absorption spectroscopy (commonly at 220 nm) is a powerful technique for measuring these nitrates. The challenge lies in developing sensors that can work in complex environments where the matrix of materials may interfere with measurements. Real-time measurements must be highly accurate and provide immediate feedback to control systems, ensuring that water purification processes run efficiently. In food production, optical technologies such as UV-Vis and near-infrared (NIR) spectroscopy are
used to check food quality, looking for pesticides, contaminants, and spoilage.
By analysing the light reflected or transmitted through the product, these sensors can assess its quality in a non-destructive manner. For example, NIR spectroscopy is commonly used in the agricultural industry for determining the moisture content, protein level, and fat content of foodstuffs like grains, meat, and dairy products. However, the challenge of integrating these techniques into fast-paced production lines is significant. Calibration, variability in sample properties, and the need for highly sensitive, robust systems all pose hurdles to deploying such systems on a large scale. Recent advances in quantum imaging and optical metrology are paving the way for even more accurate
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