Smart Virtual Wall, More Effective and Cheaper Than Physical Wall
Dear Friends & Neighbors,
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As the government shutdown and debate over President Donald Trump’s proposed wall continue, government money is flowing and tech companies (such as Quanergy and Anduril) are offering potential solution that would be more effective and cheaper for the American taxpayers than building a physical wall. The U.S.-Mexico border stretches 1,954 miles. About 700 of those miles have some sort of barricade or fence. The rest of the border is rugged landscapes and natural barriers like the Rio Grande River. In essence, the high tech virtual or electronic wall is an A.I. powered sensor fusion platform, gathering data from thousands of sensors to be integrated into a single cohesive real-time 3D model, supplying information about the area needing to be under surveillance.
CNBC traveled to the U.S.-Mexico border town of Del Rio, Texas, to see a prototype of a virtual wall, and also found out why locals in the area would rather have electronic surveillance over a physical barrier, in the video “How Autonomous Car Tech Could Solve Border Security“, below
To better understand the high tech surveillance of Lidar technology offered by Quanergy, please refer to excerpt from Wikipedia, in italics, below:
Lidar is commonly used to make high-resolution maps, with applications in geodesy, geomatics, archaeology, geography, geology, geomorphology, seismology, forestry, atmospheric physics, laser guidance, airborne laser swath mapping (ALSM), and laser altimetry. The technology is also used in control and navigation for some autonomous cars.
Lidar uses ultraviolet, visible, or near infrared light to image objects. It can target a wide range of materials, including non-metallic objects, rocks, rain, chemical compounds, aerosols, clouds and even single molecules. A narrow laser beam can map physical features with very high resolutions; for example, an aircraft can map terrain at 30-centimetre (12 in) resolution or better.
The essential concept of lidar was originated by EH Synge in 1930, who envisaged the use of powerful searchlights to probe the atmosphere. Indeed, lidar has since been used extensively for atmospheric research and meteorology. Lidar instruments fitted to aircraft and satellites carry out surveying and mapping – a recent example being the U.S. Geological Survey Experimental Advanced Airborne Research Lidar. NASA has identified lidar as a key technology for enabling autonomous precision safe landing of future robotic and crewed lunar-landing vehicles.
Wavelengths vary to suit the target: from about 10 micrometers to the UV (approximately 250 nm). Typically light is reflected via backscattering, as opposed to pure reflection one might find with a mirror. Different types of scattering are used for different lidar applications: most commonly Rayleigh scattering, Mie scattering, Raman scattering, and fluorescence. Suitable combinations of wavelengths can allow for remote mapping of atmospheric contents by identifying wavelength-dependent changes in the intensity of the returned signal.
The two kinds of lidar detection schemes are “incoherent” or direct energy detection (which principally measures amplitude changes of the reflected light) and coherent detection (best for measuring Doppler shifts, or changes in phase of the reflected light). Coherent systems generally use optical heterodyne detection. This is more sensitive than direct detection and allows them to operate at a much lower power, but requires more complex transceivers.
Both types employ pulse models: either micropulse or high energy. Micropulse systems utilize intermittent bursts of energy. They developed as a result of ever-increasing computer power, combined with advances in laser technology. They use considerably less energy in the laser, typically on the order of one microjoule, and are often “eye-safe”, meaning they can be used without safety precautions. High-power systems are common in atmospheric research, where they are widely used for measuring atmospheric parameters: the height, layering and densities of clouds, cloud particle properties (extinction coefficient, backscatter coefficient, depolarization), temperature, pressure, wind, humidity, and trace gas concentration (ozone, methane, nitrous oxide, etc.).
Gathered, written, and posted by Windermere Sun-Susan Sun Nunamaker
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