smartvisionlighting

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...

  Why is Smart Lighting Important? Lighting accounts for 15-20% of global electricity use . Energy-efficient lighting can reduce power consumption and environmental impact. Traditional lighting wastes energy when left on unnecessarily. How Smart Lighting Solves These Problems Automated control : Lights turn ON/OFF based on occupancy (PIR sensors). Ambient light sensing : Adjusts brightness depending on natural light levels . Gesture control : Offers a touch-free and convenient way to control lighting. Remote access : Wi-Fi module enables mobile/web control . Energy Savings with Automated Lighting Research by Smith et al. (2023) found that smart lighting systems can reduce energy consumption by 40% . Studies highlight that motion-based control significantly improves efficiency. Gesture-Based Smart Lighting Control Doe (2021) analysed how computer vision-based gesture control improves user experience. Results showed that gesture-based systems had 85-95% recognition accuracy ...

  Key Components of my Proposed System: Occupancy Detection: Utilizing sensors to determine room occupancy and adjust lighting accordingly. Natural Light Adjustment: Incorporating light sensors to measure ambient light levels and modulate artificial lighting to maintain consistent illumination. Gesture-Based Control: Implementing camera-based systems to recognize user gestures for intuitive lighting control Project Aim The primary aim of this project is: To design and develop a smart lighting system that optimizes energy efficiency and enhances user convenience by automatically adjusting lighting based on room occupancy, ambient light levels, and gesture-based user inputs. This project  aligns with energy efficiency goals  and  provides an interactive, sustainable, and smart lighting solution  for homes and offices K ey Objectives: Implement Gesture-Based Control Use a camera module and computer vision algorithms to recognize user gestures for turning lights...

  Required Resources Equipment and Materials: ·   Arduino : £24 each ELEGOO MEGA R3 Board ATmega 2560 + USB Cable Compatible with Arduino IDE Projects RoHS Compliant: Amazon.co.uk: Computers & Accessories   ·   Camera module : £23 Raspberry Pi Camera Module 3 | The Pi Hut     ·   Light sensor : £7 Adafruit TSL2591 High Dynamic Range Digital Light Sensor (STEMMA QT) | The Pi Hut   ·   PIR motion sensor : £8 Electrones PIR Motion Sensor Module, HC-SR501 Infrared Detection, 5-Pack, Compatible with Arduino and Raspberry Pi : Amazon.co.uk: Business, Industry & Science   ·   Relay module : £5 Yizhet 5V 2 Channel-Relay, DC 5V 230V Relay Shield Module Control Board with Optocoupler for Raspberry Pi Arduino PIC AVR MCU DSP ARM TTL Logic (2 Channel) : Amazon.co.uk: Business, Industry & Science   ·   Wi-Fi module (ESP8266 ) : £9 AZDelivery 5 x D1 Mini NodeMcu WiFi Board ESP8266-12F CH340G WLA...

  PDE3823 – Project Proposal   Student Name: Abdi Ali Student Number: M00814431 Topic of Study: Vision-based smart lighting Assigned Supervisor: Mr. Huan Nguyen   Working Title Development of a Smart Lighting System Using Room Occupancy, Natural Light, and Gesture Based Control   Problem Definition Modern energy efficiency solutions require intelligent systems to optimize power usage. Traditional lighting systems lack adaptability, leading to wasted energy in unoccupied rooms or areas with ample natural light. How can an intelligent lighting system, integrating computer vision, sensors, and gesture-based control, improve energy efficiency while enhancing user convenience?   Justification and Context The demand for energy efficient solutions has surged due to global energy concerns and environmental policies. Smart lighting systems address these challenges by reducing unnecessary energy consumption. Combining automation, gesture control, ...