Abstract: An Eye Sign language communication system and method is useful for people suffering from Quadriplegia, stroke or paralysis. The Eye Sign language communication system is based on advanced machine learning and deep learning to identify the eye sign language based on the eye blinks and direction of eye gaze with help of pupil for interpretation of signs into alphabets and words and conversion of words into speech. Hardware with sensors, controllers, and speakers along with a display screen are used to process the eye signs and display the alphabets, words and sentences and announce the detected alphabets, words and sounds using the speakers.

Abstract: A harvesting system has a climbing unit with a body driven by traction wheels, a control unit, an articulated arm with a cutting implement at an extremity, a video camera focused on the cutting implement, and a computerized portable control station having a display and a user interface with inputs operable to control driving the traction wheels of the climbing unit, the articulation of the articulated arm, and the cutting implement. Video streamed in real time from the video camera is displayed on the display screen, and a user viewing the video display operates the inputs to position the cutting implement to cut a stem of a fruit or nut in the tree.

Abstract: A harvesting system has a climbing unit with a body driven by traction wheels, a control unit, an articulated arm with a cutting implement at an extremity, a video camera focused on the cutting implement, and a computerized portable control station having a display and a user interface with inputs operable to control driving the traction wheels of the climbing unit, the articulation of the articulated arm, and the cutting implement. Video streamed in real time from the video camera is displayed on the display screen, and a user viewing the video display operates the inputs to position the cutting implement to cut a stem of a fruit or nut in the tree.