components required for this project

 Required Resources

Equipment and Materials:

·  Arduino: £24 each

 

·  Camera module: £23

 

 

·  Light sensor: £7

 

·  PIR motion sensor: £8

 

·  Relay module: £5

 

·  Wi-Fi module (ESP8266 ): £9

Comments

Post a Comment

Popular posts from this blog

Smart Lighting System key Phases; Motion, Light, and Gesture Control

To optimize lighting automation, I have divided my approach into three key phases: room occupancy-based control, natural light adaptation, and gesture recognition . Each phase addresses a different aspect of energy efficiency and user convenience.  The implementation and simulation of each phase will involve testing the respective sensors and control mechanisms individually before integrating them into a unified system.  Room Occupancy Control: The PIR motion sensor will be tested to ensure accurate presence detection, and its integration with the relay module will be verified. Natural Light-Based Adjustment: The light sensor will be simulated in various lighting conditions to confirm its ability to dynamically adjust brightness levels. Gesture-Based Interaction: The camera module will undergo simulation  to recognize predefined hand movements for controlling the lighting system.   1. Light Intensity Control Using Room Occupancy Motion Detection with PIR Sensors T...
Read more

some existing projects and research related to smart lighting systems

These resources provide insights into existing systems and research that align with your project on smart lighting systems incorporating occupancy sensing and gesture-based controls. Emotion and Gesture-Driven Smart Home System  This project integrates facial and speech emotion recognition, gesture-based controls, and environmental monitoring to manage lighting, ventilation, and water systems dynamically GitHub - Halabilal/Smart-Home-Project: Emotion and Gesture-Driven Smart Home System with Advanced Environmental Controls Adaptive Lighting Systems: Occupancy Sensing This article discusses how occupancy sensing can be combined with other lighting control strategies, such as ambient light detection, to maximize energy savings and sustainability Silvair - Adaptive lighting systems: Occupancy sensing AI Smart Lighting Systems  This article explores how AI-based smart lighting systems can provide the right light in the right place at the right time by lighting areas based on occup...
Read more

Market research

  existing smart lighting systems compared to my proposed system current smart lighting solutions offer feature connectivity automation and energy efficiency but for my proposed system I aim  for gesture-based control ,occupancy detection, ambient light adaptation and remote access. for current smart lighting solutions the features often .Connectivity: Integration with IoT devices, allowing control via smartphones or tablets. .Automation: Scheduling and automation based on user preferences .Energy Efficiency: Adaptive lighting based on ambient conditions to conserve energy. on the other hand i plan to develop the following Gesture-Based Control: Utilizing a camera and OpenCV for hand gesture recognition. Occupancy Detection: Employing PIR motion sensors to determine room occupancy. Ambient Light Adaptation: Adjusting lighting levels based on real-time ambient light measurements. Remote Access: Providing Wi-Fi connectivity for remote monitoring and control. some existing...
Read more