
Shamag developed two integrated features for the Automation_Course_2025A repository, focusing on embedded systems and motor control using Arduino and C++. In December, Shamag built a customer detection system that combined ultrasonic sensing, IR remote input, servo actuation, button interaction, and LCD feedback to automate customer interaction workflows. The following month, Shamag implemented a PID-based motor angle control feature, introducing hardware initialization, PID parameter configuration, and a safety threshold requiring manual positioning before automatic adjustment. Both features demonstrated end-to-end hardware-software integration, providing practical solutions for real-time detection and precise motor control in hands-on IoT and automation course projects.

January 2025 monthly summary for Automation-Course/Automation_Course_2025A: Focused on delivering a PID-based motor angle control feature via an Arduino sketch with a safety threshold. Implemented hardware initialization, PID parameter configuration, and user-defined target angle input. Enforced safety by requiring manual movement to a predefined threshold before automatic adjustments. This feature lays the groundwork for precise, repeatable motor control in course projects, enhancing experimental reliability and safety. Demonstrates strong hardware-software integration with readiness for demonstration or classroom use. No major bugs reported in the available data; the feature was delivered in a single commit by GROUP21.
January 2025 monthly summary for Automation-Course/Automation_Course_2025A: Focused on delivering a PID-based motor angle control feature via an Arduino sketch with a safety threshold. Implemented hardware initialization, PID parameter configuration, and user-defined target angle input. Enforced safety by requiring manual movement to a predefined threshold before automatic adjustments. This feature lays the groundwork for precise, repeatable motor control in course projects, enhancing experimental reliability and safety. Demonstrates strong hardware-software integration with readiness for demonstration or classroom use. No major bugs reported in the available data; the feature was delivered in a single commit by GROUP21.
December 2024: Delivered a comprehensive Customer Detection System feature for Automation_Course_2025A. Implemented an Arduino-based prototype that detects customers with an ultrasonic sensor, processes IR remote inputs, actuates a servo for a defined duration, and responds to a button press. It includes LED indicators for state feedback and LCD display output. The feature was delivered in a single commit by GROUP21 (hash: 1dea8057d9d6bc045ff075263552e2703cf1d942), enabling end-to-end hardware-software integration and a tangible demonstration of automated customer interaction.
December 2024: Delivered a comprehensive Customer Detection System feature for Automation_Course_2025A. Implemented an Arduino-based prototype that detects customers with an ultrasonic sensor, processes IR remote inputs, actuates a servo for a defined duration, and responds to a button press. It includes LED indicators for state feedback and LCD display output. The feature was delivered in a single commit by GROUP21 (hash: 1dea8057d9d6bc045ff075263552e2703cf1d942), enabling end-to-end hardware-software integration and a tangible demonstration of automated customer interaction.
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