INTELLIGENT SYSTEMS
AI & Machine Learning
Developing optimization algorithms and computer vision systems for autonomous operations and industrial automation.
Multi-UAV 3D Plant Coverage
Bachelor Thesis | IPB University
Developed and analyzed an optimization algorithm for multi-UAV systems to maximize 3D plant surface coverage in controlled environment agriculture. Designed a mathematical modelling and simulation framework for autonomous drone placement, sensor visibility analysis, and system performance benchmarking.
CORE ALGORITHMS
- Next Best View (Greedy Optimization)
- Genetic Algorithm
- 3D Geometry Processing
IMPLEMENTATION
- Python Simulation Environment
- Camera Field-of-View Modelling
- Occlusion Detection & Visibility Mapping
PythonOptimizationSimulationMathematical ModellingUAV SystemsData Analysis
View Thesis DocumentQC Automation System
PT. Porto Indonesia Sejahtera
Developed an intelligent Quality Control (QC) automation system using computer vision and real-time industrial sensing to improve inspection accuracy, consistency, and production efficiency. Designed the complete system architecture integrating conveyor cameras, sensors, actuators, and AI-based decision modules.
COMPUTER VISION
- YOLO integration for object detection
- Segment Anything Model (SAM) for segmentation
- Automated pass/fail decision systems
SYSTEM ARCHITECTURE
- PySide6 (Qt) Desktop Interface
- Backend logic for sensor communication
- Actuator triggering & Machine monitoring
PythonPySide6QtYOLOSAMSignal ProcessingSensor Integration
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