Presented at Adamson University, 28th of March, 2018
Our developed module consists of (from top to bottom) a Lidar v3 Lite sensor capable of detecting objects within 40 meters of its range, two servo mechanisms responsible for the module's rotation, and a gizDuino X ATmega 1281 microprocessor which handles most of the module's data processing tasks.
The proposed project aims to provide an alternative to traffic congestion present among intersections by providing a fully automated system powered by a module responsible for detecting current traffic flow and conditions
The photo shows a diorama which is a representation of an intersection having 5 vehicles on two separate lanes. The module will sweep from lane A to B and will detect whether there is an object present from each point (red boxes on lane B & yellow boxes on lane A). Each white cardboard boxes represents a vehicle residing on an individual point.
Once the module has finished its sweep, it will process the data collected via its microprocessor and will determine the current traffic condition (Light, Moderate, Heavy). The decision will affect the timer for each traffic lights present on each lane. This project aims to optimize traffic flow through automation.
Quality and Assurance Engineer Intern (April - Jun 2018)
As an intern, I was tasked to conduct laboratory tests on electronic products in order to determine if each product adhere to the safety standards of the company as part of their quality control.
I was also trained to handle company database to manage both outgoing and incoming products from clients. Their database was developed in order to easily track and schedule deliveries of every electronic products. It also plays a huge role in maintaining proper product storage. Every product is tagged with a unique id which is also recorded in the company database for retrieval purposes.
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