As inspired by the elevators’ performance in Mudd Building, we observed the traveling time are usually long when multiple people step into the lobby at the same time due to random allocation. Hence, we improved office buildings’ elevator performance under such conditions. Furthermore, facial recognition was also incorporated by our system, which could implement floor selection and cooperate with security systems.
Database |
Face recognition |
Manage passenger information on the cloud.
SchedulerDynamically schedule the route of each elevator to minimize average time for each passenger.
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Identify multiple people and their destination floors with a single snapshot.
SimulatorSimulate elevator movement and conditions on a programmable webpage.
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