Issue link: https://www.e-digitaleditions.com/i/1132978
July/August/September 2019 I 13 FIGURE 4: LiDAR technology works with millions of data points called "point clouds" to render 3D accurate object displays without the use of video surveillance cameras to advance today's security protection systems. FIGURE 5: LiDAR is effectively used for the protection of pedestrians on crosswalks, whether in a smart city, university or corporate campus, as well as other public venues. LiDAR sensors detect, track and classify objects; details of a few inches can be detected at more than 100 meters. One LiDAR system in autonomous vehicles not only detects pedestrians, but it can also tell which direction they are facing. Figure 4 shows a detailed LiDAR rendering with a colorization process for added visualization. Perimeter protection systems can accurately predict where a thief may breach a protected space or where a pedestrian will walk. Essentially, LiDAR's most popular usage is on autonomous vehicles; stationary LiDAR alerts on traffic incidents; protection of pedestrians on cross- walks (Figure 5) and may be used to detect and recognize objects around a perimeter. Unfamiliar to many is that casinos use a form of zone cabling architecture already. However, the individual cabling hubs where an 802.3bt compliant power source equipment (PSE) should be has a legacy, unsupervised low voltage camera power supply still powering the cameras. Collaborative security and ICT industries should be supporting the full suite of power and management protocols in many powered devices (PDs), such as IP cameras and acoustic sensors. LiDAR's Bright Idea Will LiDAR replace basic object recognition? The auto- nomous vehicle industry has gifted the industry with LiDAR devices, capable of visual object recognition that rivals video analytics at a far lower cost. LiDAR's safe, projected laser units measure how long it takes for the light to hit an object or surface, calculating the distance to the object the light just hit and forming data points. Millions of those data points, called "point clouds," are processed as a 3D visualization in seconds, rendering accurate object displays color coded by class- ification, height and relative position without the use of video surveillance cameras. Objects are visualized and recognized while maintaining privacy in public spaces and without the high costs to redact or blur facial features and vehicle license plates in video clips. Unlike radar or sound waves, LiDAR does not dissipate as it travels back to its scanner, so not only can a moving object be recognized, but its position and direction is also visible.