Abstract: An ultrasonic transducer includes an elongated transducer body with an aperture for mounting a piezoelectric driver stack for driving the ultrasonic transducer to operate at a first resonant frequency, a mounting flange for mounting the transducer body to a wire bonding machine, a rigid connecting member having first and second ends which are respectively connected to the mounting flange and the transducer body at a first nodal vibration region of the transducer body when the ultrasonic transducer is operated at the first resonant frequency and a flexible connecting member extending between the mounting flange and the transducer body at a second nodal vibration region of the transducer body when the ultrasonic transducer is operated at the first resonant frequency.

Abstract: An ultrasonic transducer that is configured to selectively operate at first or second resonant frequency during wire bonding operations includes an elongated transducer body an aperture for mounting a piezoelectric driver stack for driving the ultrasonic transducer to operate at the first or second resonant frequency and a mounting flange connected to the transducer body at a first nodal vibration region of the transducer body when the ultrasonic transducer is operated at the first resonant frequency. The elongated transducer has a length substantially equal to two wavelengths of a first oscillatory wave that is transmitted along the length of the transducer body when the transducer is operated at the first resonant frequency, and substantially equal to a half wavelength of a second oscillatory wave that is transmitted along the length of the transducer body when the transducer is operated at the second resonant frequency.

Abstract: Systems and methods are described for identifying the video content as spherical video or non-spherical video in response to determining that frame scores and video scores satisfy a threshold level. For example, a plurality of image frames can be extracted from video content, classified in a dual stage process, and scored according to particular classification and scoring mechanisms.

Abstract: Systems and methods are described for identifying the video content as spherical video or non-spherical video in response to determining that frame scores and video scores satisfy a threshold level. For example, a plurality of image frames can be extracted from video content, classified in a dual stage process, and scored according to particular classification and scoring mechanisms.

Abstract: Systems and methods are described for identifying the video content as spherical video or non-spherical video in response to determining that frame scores and video scores satisfy a threshold level. For example, a plurality of image frames can be extracted from video content, classified in a dual stage process, and scored according to particular classification and scoring mechanisms.

Abstract: Systems and methods are described for identifying the video content as spherical video or non-spherical video in response to determining that frame scores and video scores satisfy a threshold level. For example, a plurality of image frames can be extracted from video content, classified in a dual stage process, and scored according to particular classification and scoring mechanisms.