Prototypes delivered

Deep learning

The tenth project carried out by the Computer Science students was the development of a project based on a deep learning system applied to computer vision, with the aim of presenting innovative solutions to the project partners through the use of technology.

2024 - 2nd Quarter

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PROBLEM: Challenge students to create a solution that is more effective than the existing solution.

OBJECTIVE: To generate a computer vision model for agricultural regions in southern Brazil that accurately identifies productive plots, helping to overcome the challenges related to local terrain and production characteristics.

AUDIENCE: Internal technology team

LINK: https://github.com/InteliProjects/2024-T0001-CC10

2024 - 3rd Quarter

PROBLEM: Analysis of thermographic images of cattle

OBJECTIVE: To train machine learning models to analyze thermographic images of cattle.

AUDIENCE: Technology team

LINK: https://github.com/InteliProjects/2024-2A-T05-CC09

2025 - 1st Quarter

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PROBLEM: Identification of weeds in sugar cane cultivation.

OBJECTIVE: To develop a computer vision model to identify weeds in sugarcane crops.

PUBLIC: Innovation team.

LINK: https://github.com/InteliProjects/2025-1A-T07-CC09