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This project is an exercise in understanding how the physical environment is being fundamentally reformed with the introduction of large scale applications of Light Detection and Ranging Systems (LiDAR). This is a technology that is being used at the street level (through self-driving vehicles), airspace (military drones) and at the macro scale (satellite imaging) to produce a digital copy of our world for various uses.
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Using light ranging and detection systems (Lidar), this system constantly updates their readings of the city to a collective consciousness. By coupling their technology with satellites and drones, the most logical routes can be calculated and updated to suit any condition. This method understands the urban landscape by emitting infrared breams, which is then calculated by a sensor chip and mapped out into digital space.
Light Detection and Ranging Systems
The machine vision instrument chosen for this project is LiDAR, a process which emits infrared light beams to capture physical objects within a room.
This project asks how does this new digital realm reconfigure our understanding of the physical urban network? Although the AI system is attempting to create an exact mapping of urban cities, it cannot do so in the way an individual would. Formal studies have shown that certain gestures, angles, and materials disrupt the infrared readings of the landscape, scattering points to new areas. These points create a new urban map, and changes the dynamic that pedestrians have within these systems.
The objects in the room are documented in the system’s algorithm to determine the field of depth, color, and composition of the physical landscape. By locating where these values pass through the sensor chip, a tool can be generated to change these values. The movement of particular physical attributes that the infrared beams rely on from their original location will force the camera to reorganize it’s data based on this new information. This tweak causes a new interpretation to the color composition of the room, and an alternate visual output when the values are reorganized.
Deliberate gestures, carved angles reveal an alternative digital understanding of our physical realm.
How does this new digital realm reconfigure our understanding of the physical urban network? Although the AI system is attempting to create an exact mapping of urban cities, it cannot do so in the way an individual would. Formal studies have shown that certain gestures, angles, and materials disrupt the infrared readings of the landscape, scattering points to new areas. These points create a new urban map, and changes the dynamic that pedestrians have within these systems.
The objects in the room are documented in the system’s algorithm to determine the field of depth, color, and composition of the physical landscape. By locating where these values pass through the sensor chip, a tool can be generated to change these values. The movement of particular physical attributes that the infrared beams rely on from their original location will force the camera to reorganize it’s data based on this new information. This tweak causes a new interpretation to the color composition of the room, and an alternate visual output when the values are reorganized.
