Abstract: A system for inferring features in a digital image includes a vision sensor for capturing and optically encrypting an image of a visual scene so as to shroud any human-perceivable features contained therein. An image interpreter in communication with the vision sensor is programmed to recognize and classify features in the encrypted image without prior decryption, thereby ensuring the privacy of any subjects depicted therein. The vision sensor is encoded with a calibration key that applies a unique transformation function to optically encrypt the captured image. The image interpreter is permitted access to the calibration key and applies a convolutional network constructed using the calibration key, a source convolutional network, and a set of private layer keys in order to infer features in the encrypted image without prior decryption. For applications requiring enhanced privacy protection, the inference output produced by the image interpreter remains encrypted but available for further feature detection.

Abstract: In some embodiments, the system for magnetic braking in fishing reels includes a fishing reel including a spool, a lever, a rotor, and a movable slider device. The rotor includes a plurality of spaced-apart holes and a plurality of magnets in the plurality of holes. The slider device includes a first sheet, a second sheet and a third sheet. Each of the second sheet and the third sheet include a magnet in a hole. The slider device is movable between a first position and a second position, where the first position is farther apart from a center of the rotor. The interactions between the one or more magnets of the movable slider device and the plurality of the magnets of the rotor cause the rotor to brake when the movable slider device is at the second position.

Abstract: A system for inferring features in a digital image includes a vision sensor for capturing and optically encrypting an image of a visual scene so as to shroud any human-perceivable features contained therein. An image interpreter in communication with the vision sensor is programmed to recognize and classify features in the encrypted image without prior decryption, thereby ensuring the privacy of any subjects depicted therein. The vision sensor is encoded with a calibration key that applies a unique transformation function to optically encrypt the captured image. The image interpreter is permitted access to the calibration key and applies a convolutional network constructed using the calibration key, a source convolutional network, and a set of private layer keys in order to infer features in the encrypted image without prior decryption. For applications requiring enhanced privacy protection, the inference output produced by the image interpreter remains encrypted but available for further feature detection.

Abstract: Collision detection and estimation from a monocular visual sensor is an important enabling technology for safe navigation of small or micro air vehicles in near earth flight. In this paper, we introduce a new approach called expansion segmentation, which simultaneously detects “collision danger regions” of significant positive divergence in inertial aided video, and estimates maximum likelihood time to collision (TTC) in a correspondenceless framework within the danger regions. This approach was motivated from a literature review which showed that existing approaches make strong assumptions about scene structure or camera motion, or pose collision detection without determining obstacle boundaries, both of which limit the operational envelope of a deployable system. Expansion segmentation is based on a new formulation of 6-DOF inertial aided TTC estimation, and a new derivation of a first order TTC uncertainty model due to subpixel quantization error and epipolar geometry uncertainty.

Abstract: A programmable logic device (PLD) such as an FPGA or CPLD is supplementally configured to verify the integrity of its configuration data during operation of the device. The programmable logic device includes a checksum calculation engine to calculate a checksum based upon the configuration data. A checksum comparator compares the calculated checksum to a previously-calculated checksum to verify the integrity of the configuration data.

Abstract: A microprocessor is implemented using sense amplifiers to replace CMOS logic circuits, in order to provide low voltage, high frequency switching. The input node of the sense amplifier is maintained at a voltage just above or just below their trip-point of one inverter in order to obtain high-speed switching. Bench mark tests have shown that a microprocessor operating at 2.7 volts may obtain a frequency of 20 MHz and while the same microprocessor may operate at 5.5 volts and 40 MHz.