A computational cytometer operates using magnetically modulated lensless speckle imaging, which introduces oscillatory motion to magnetic bead-conjugated rare cells of interest through a periodic magnetic force and uses lensless time-resolved holographic speckle imaging to rapidly detect the target cells in three-dimensions (3D). Detection specificity is further enhanced through a deep learning-based classifier that is based on a densely connected pseudo-3D convolutional neural network (P3D CNN), which automatically detects rare cells of interest based on their spatio-temporal features under a controlled magnetic force. This compact, cost-effective and high-throughput computational cytometer can be used for rare cell detection and quantification in bodily fluids for a variety of biomedical applications.

A texture recognition device and a display device are provided. The texture recognition device includes a backlight element, configured to provide first backlight; a light constraint element, configured to perform a light divergence angle constraint process on the first backlight to obtain second backlight with a divergence angle within a preset angle range, the second backlight being transmitted to a detection object; and a photosensitive element, configured to detect the second backlight reflected by a texture of the detection object to recognize a texture image of the texture of the detection object.

Present invention discloses a night vision system for a vehicle and method of installation for the night vision system on the vehicle. The night vision system includes a mount, a night vision device detachably mountable on the vehicle using the mount. The night vision device is mounted pointing over a road for detecting one or more objects present on and alongside the road. The system further includes a display device configurable within an interior region of the vehicle for displaying a video stream received from the night vision device to a user driving the vehicle. The display device is configured to embody a program product for enabling the display device to receive, process and display the received video stream on the display device.

Present invention discloses a night vision system for a vehicle and method of installation for the night vision system on the vehicle. The night vision system includes a mount, a night vision device detachably mountable on the vehicle using the mount. The night vision device is mounted pointing over a road for detecting one or more objects present on and alongside the road. The system further includes a display device configurable within an interior region of the vehicle for displaying a video stream received from the night vision device to a user driving the vehicle. The display device is configured to embody a program product for enabling the display device to receive, process and display the received video stream on the display device.

In an embodiment, a method for tracking a target using a millimeter-wave radar includes: receiving radar signals using the millimeter-wave radar; generating a range-Doppler map based on the received radar signals; detecting a target based on the range-Doppler map; tracking the target using a track; generating a predicted activity label based on the track, where the predicted activity label is indicative of an actual activity of the target; generating a Doppler spectrogram based on the track; generating a temporary activity label based on the Doppler spectrogram; assigning an uncertainty value to the temporary activity label, where the uncertainty value is indicative of a confidence level that the temporary activity label is an actual activity of the target; and generating a final activity label based on the uncertainty value.

Systems and methods for controlling performance of a digital character depicted at a display device are disclosed. According to at least one embodiment, a method for controlling performance of a digital character depicted at a display device includes: determining a presence of a person located in a physical environment; and in response to determining the presence of the person, facilitating control of the performance of the digital character depicted at the display device by a human operator, by an artificial intelligence (AI) game-engine, or by a combination thereof.

A sensor arrangement may include a light sensor, a lens, and a filter. The lens may include a distal end positioned toward an environment and a proximal end that is opposite the distal end and positioned toward the light sensor. The filter may be situated between the light sensor and the proximal end of the lens. The filter may be configured to permit a preconfigured set of wavelengths of light from the environment to be sensed by the light sensor.

An occupant monitoring device for a vehicle includes an imager, a display, and a determiner. The imager is configured to image a cabin of the vehicle to monitor conditions of occupants in the vehicle. The display is configured to display a screen to be viewed by the occupants in the vehicle. The determiner is configured to determine the conditions of the occupants in the vehicle by using captured image data obtained by imaging each of the occupants by the imager while the screen is displayed on the display. A panel configured to display the screen of the display has an outer edge outside a display area of the screen. The imager is disposed on a back of the outer edge of the panel of the display.

In some arrangements, product packaging is digitally watermarked over most of its extent to facilitate high-throughput item identification at retail checkouts. Imagery captured by conventional or plenoptic cameras can be processed (e.g., by GPUs) to derive several different perspective-transformed views—further minimizing the need to manually reposition items for identification. Crinkles and other deformations in product packaging can be optically sensed, allowing such surfaces to be virtually flattened to aid identification. Piles of items can be 3D-modelled and virtually segmented into geometric primitives to aid identification, and to discover locations of obscured items. Other data (e.g., including data from sensors in aisles, shelves and carts, and gaze tracking for clues about visual saliency) can be used in assessing identification hypotheses about an item. Logos may be identified and used—or ignored—in product identification. A great variety of other features and arrangements are also detailed.

In some arrangements, product packaging is digitally watermarked over most of its extent to facilitate high-throughput item identification at retail checkouts. Imagery captured by conventional or plenoptic cameras can be processed (e.g., by GPUs) to derive several different perspective-transformed views—further minimizing the need to manually reposition items for identification. Crinkles and other deformations in product packaging can be optically sensed, allowing such surfaces to be virtually flattened to aid identification. Piles of items can be 3D-modelled and virtually segmented into geometric primitives to aid identification, and to discover locations of obscured items. Other data (e.g., including data from sensors in aisles, shelves and carts, and gaze tracking for clues about visual saliency) can be used in assessing identification hypotheses about an item. Logos may be identified and used—or ignored—in product identification. A great variety of other features and arrangements are also detailed.