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Automatic bike count from video and images

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Automatic bike count from video and images

Automatic bike count from videos and images

Section: Electrical Engineering, Mechanical Engineering, Computer Science, Communication Systems

Place: San Juan de Pasto, Colombia

Start Date: February 2019

Duration: 2-4 Months

Hosting Structure: The Universidad de Nariño is a public university in Colombia, with administrative and organizational autonomy with respect to the government. The University has 11 schools, offers 35 undergraduate programs, many Master programs and one PhD program. Universidad de Nariño is participating in the Energy Cities Program (Colombia), which is being executed by Swiss companies with the support of the Swiss State Secretariat for Economic Affairs.

Project Overview:

Currently, the city of Pasto has a number of surveillance cameras that keep track of the traffic. Using video data from these cameras, the aim would be to measure automatically the number of bicycles flowing at specific points in the city by using signal processing techniques.
From the technical point of view, we need to process the videos, identify objects, and then count the bikes in the camera’s range in real time. This can be done using standard software packages available in our labs, which also has drones, cameras, and high performance computers available for prototyping. The intern would be a part of a team of undergraduate students working on this project, which would be advised by two faculty members from the Electronics Engineering Department at Universidad de Nariño
 

Required skills: Basic knowledge of image processing. Strong capacity of adaption to new teams and conditions. Autonomy and responsibility is expected. Basic Spanish knowledge is a plus but not mandatory.

Other Comments: Accomodation and Meals provided

Contact : dario@udenar.edu.co

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