International Business Machines Corporation

Jiayu Zheng

Tao Song

WeiFeng Zhang

LiCen Mu

Lingle Guo

Zhen Wang

Xiao Liang Hu

James D Bielick

XiYuan Yin

Lin Zhao

Michael Benosa Monjardin

Mingman Li

Zexin Luo

Susan Zhai

System and methods for solder void analysis with an optical inspection component are described, including a plurality of optical fibers longitudinally disposed through a glass tube such that ends of the optical fibers are exposed from corresponding ends of the glass tube. A solderable fill encompassing each of the optical fibers by filling spaces between each of the optical fibers and between the optical fibers and the glass tube such that the ends of the glass tube include the ends of the optical fibers surrounded by the solderable fill to form an interface around the optical fibers for soldering one of the ends of the glass tube to a solder pad.

Image conduction apparatus for soldering inner void analysis

A system for flux residue detection is provided. The system includes a flux heater, where the flux heater controls a temperature of a flux spray applied to a printed circuit board, and an infrared camera, wherein the infrared camera provides a thermal image of the flux on the printed circuit board. A method, a computer system, and a computer program product for flux residue detection is provided, including setting flux application parameters, applying flux to a printed circuit board, and capturing an infrared image of the flux applied to the printed circuit board. A method, a computer system, and a computer program product for flux residue detection is provided, including setting flux application parameters, applying flux to a printed circuit board, capturing an infrared image of the flux applied to the printed circuit board, and determining there is excess flux residue on the printed circuit board.

Flux residue detection

Embodiments of the present invention provide a computer-implemented method for identifying a specified object. The method includes collecting attributes of a physical object within a physical space, in which the attributes include an object temperature obtained via an (IR) sensor and an object shape obtained via an image sensor. A machine learning algorithm is executed to allocate a coordinate to the object based on the attributes. In response to a request from a user to locate the object, the physical space is scanned via the IR sensor and the image sensor to identify the object and to detect a present location. An indication of a location of the object is then displayed to the user, in which the indication is at least one of the present location of the object or a predicted location of the object.

Object cognitive identification solution

A method for cleaving a fiber comprises rotating an actuator to apply a positioning force to a blade in a scoring assembly. The positioning force produces a score in the surface of a fiber, and the method further comprise applying a cleaving force to the fiber to cleave the fiber. The method can further include measuring the magnitude of the positioning force and rotating the actuator until the magnitude corresponds to a pre-determined magnitude. A cleaver comprises a scoring assembly, drive assembly, and a cleaving assembly. The scoring assembly includes a holder having one or more blades, and an actuator. The cleaving assembly secures a fiber in the scoring assembly. The drive assembly rotates the actuator to position one or more blades to score the surface of the fiber. The cleaving assembly applies a cleaving force to the fiber to cleave the fiber at the location of the score.

Cleaving fibers of differing composition

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Shenzhen, China

Jiayu Zheng