Smart Light With Wireless Charging Based On Eye Movement Control Technology

Due to the people's continuous pursuit of intelligent and convenient products,the lights are gradually developing towards the direction of intelligence.The control method of the smart light is based on the traditional manual control,adding inductive control,wireless control,etc..However,most of the existing control methods are not suitable for the upper-extremity disabled people,and the wired or battery powered mode of the smart light makes its scope of application narrow and power security low.Through the analysis of the existing smart light control mode and power supply mode,this thesis designs a smart light with wireless charging based on eye movement control technology.It uses the Field Programmable Gate Array(FPGA)to realize the eye movement control algorithm based on video image.The system charges the battery by the wireless charging of electromagnetic induction mode,and realizes that user controls the on-off of the smart light by blinking action.In the design of eye movement control algorithm,through the analysis of the human eye localization algorithm,the integral projection method based on gradient operator is adopted according to the feature of human eye image,which can realize the horizontal and vertical positioning of the human eye.Then the eye image is intercepted by human eye location,and the eye image is processed by image segmentation and the denoising algorithm for corrosion dilation.Finally,the eye movement judgment is performed.The opening and closing eye recognition algorithm with hierarchical features is used to obtain the opening and closing eyes result of image.The blinking state of users is determined according to the times and interval of eyes opening and closing.In the design of FPGA internal function module,the function module is realized by using Verilog Hardware Description Language(Verilog HDL).The system configures the CMOS camera through the Inter-Integrated Circuit bus,and the data from camera is processed by the data acquisition and decoding module to output the human eye gray video stream data.Then,the video stream data is buffered by using the read/write FIFOs and the Synchronous Dynamic Random Access Memory(SDRAM).At the same time,through the eye positioning algorithm module,the eye image preprocessing module and the eye movement judgment module process the human eye grayscale video stream data,thereby obtains the blinking state of the user.Finally,according to the blinking state,the LED driving control module outputs a control signal to the LED light circuit,so that the user controls the LED light by the blinking.Through the test of system,it is concluded that the wireless charging eye movement control smart light designed in this thesis realizes the user's blinking control function.The effective control rate is 98%,and the eye movement control response time is 1180 ms.So this system meets the requirement of real-time for users.