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Kenny Lingga

Kenny Lingga

AI Face-Tracking Robot Car | C1 English | Award-Winning Project

Indonesia flagPekanbaru , Indonesia
$4.00/hrEntry LevelOther

Key Skills

Software

Other

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code ProgrammingComputer Code Programming
ImageImage

Top Task Types

Classification
Tracking

Freelancer Overview

As a Mechatronics Engineering graduate (2024), I specialize in AI training data and computer vision applications. My award-winning final project—a face-tracking robot car using Arduino and vision sensors—demonstrates my ability to integrate hardware and intelligent motion control. I’ve gained practical experience in image and video annotation, including bounding boxes, keypoint tracking, and semantic segmentation for autonomous systems. Fluent in Indonesian and C1-level English, I also contribute to multilingual AI workflows, including LLM evaluation and text generation in both languages. Currently, I’m expanding my capabilities by studying Japanese for the past six months, aiming to support cross-cultural AI development and annotation projects.

Entry LevelEnglishJapaneseIndonesian

Labeling Experience

Face Tracking Robot Car

OtherImageTracking
A face-tracking robot car using Arduino, MU Vision Sensor, and mecanum wheels is a mobile robotic system designed to detect and follow human faces in real time while maintaining flexible movement in all directions. Core Components & Functionality: Arduino Board: Acts as the central controller, processing input from the MU Vision Sensor and sending commands to the motor drivers. MU Vision Sensor: A compact AI-powered camera module capable of detecting and tracking human faces. It communicates with the Arduino via UART or I2C, providing coordinates of the detected face. Mecanum Wheels: These allow the robot to move omnidirectionally—forward, backward, sideways, and diagonally—by varying the speed and direction of each wheel. This enables smooth and precise alignment with the tracked face

A face-tracking robot car using Arduino, MU Vision Sensor, and mecanum wheels is a mobile robotic system designed to detect and follow human faces in real time while maintaining flexible movement in all directions. Core Components & Functionality: Arduino Board: Acts as the central controller, processing input from the MU Vision Sensor and sending commands to the motor drivers. MU Vision Sensor: A compact AI-powered camera module capable of detecting and tracking human faces. It communicates with the Arduino via UART or I2C, providing coordinates of the detected face. Mecanum Wheels: These allow the robot to move omnidirectionally—forward, backward, sideways, and diagonally—by varying the speed and direction of each wheel. This enables smooth and precise alignment with the tracked face

2024 - 2024

Education

P

Politeknik Caltex Riau

Bachelor in Mechatronics Engineering, Mechatronics Engineering Technology

Bachelor in Mechatronics Engineering
2020 - 2024

Work History

C

CV. Setia Jaya Elektrik

Sales Staff and Data Management

Pekanbaru Kota
2025 - Present
P

PT. Primanusa Globalindo

Research and Development Intern

Pekanbaru Kota
2023 - 2024