Restoration Robotics, Inc.

Kyle R Breton

Shehrzad Ahmed Qureshi

John A Tenney

George D Hermann

Mohan Bodduluri

Clifford A Oostman, Jr

Shehrzad A Qureshi

Systems and methods for tracking, identifying, labeling and/or classifying objects or features of interest, such as follicular units are provided. In some embodiments the identified and labeled features of interest, such as follicular units, may be used for planning hair harvesting, hair implantation and/or performing hair transplantation procedures.

Object-Tracking systems and methods

A system and method for tracking, identifying, and labeling objects or features of interest, such as follicular units is provided. In some embodiments, tracking is accomplished using unique signature of the follicular unit and image stabilization techniques. According to some aspects pixel data of a region of interest in a first image is compared to pixel data of the regions of interest in a second image, and based on a result of the comparison of pixel data in the region of interest in the first and second images and the signature of the follicular unit, locating the follicular unit in the second image. In some embodiments the follicular unit is searched for in the direction of a motion vector.

Object-tracking systems and methods

Systems and methods are provided for harvesting hair grafts from a body surface utilizing a removal tool comprising first and second elongated bodies. The described systems and methods serve to eliminate and/or at least minimize unnecessary compression of adjacent tissue during the removal process, thereby minimizing damage to the follicular unit being removed, reducing the opportunities for the follicular unit to intersect the path of the harvesting tool, and/or improving the quality of the removed specimen, preferably preserving its integrity.

Systems and methods for harvesting follicular units

A system and method for tracking, identifying, and labeling objects or features of interest is provided. In some embodiments, tracking is accomplished using unique signature of the feature of interest and image stabilization techniques. According to some aspects a frame of reference using predetermined markers is defined and updated based on a change in location of the markers and/or specific signature information. Individual objects or features within the frame may also be tracked and identified. Objects may be tracked by comparing two still images, determining a change in position of an object between the still images, calculating a movement vector of the object, and using the movement vector to update the location of an image device.

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Fremont, CA, United States of America

Kyle R Breton