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 systems offer gesture controls, but my approach distinguishes itself by:

Camera-Based Gesture Recognition: By Implementing a vision-based system using OpenCV, which can offer more complex gesture recognition compared to radar-based methods.

Comprehensive Sensor Integration: when i combine occupancy detection, ambient light sensing, and gesture control to create a more responsive and adaptive lighting environment.

Cost-Effective Components: Ill be using hardware like Arduino Mega, Raspberry Pi, and ESP8266 modules to maintain affordability.

so my conclusion basically by integrating advanced camera-based gesture recognition with multiple sensor inputs, my smart lighting system offers a unique combination of features that enhance user interaction and energy efficiency, setting it apart from existing solutions in the market.

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