Abstract: An expandable intervertebral fusion cage, wherein each first block and second block of the fusion assembly is provided with a receiving groove, and the bottom of the groove includes an inclined surface. An intermediate block is installed within the receiving groove. The control assembly includes a fixing member, a pressing member, a horizontal adjustment rod, and a vertical adjustment rod. The fixing member is disposed at the front end of the fusion assembly and positioned between the first block and the second block, while the pressing member is disposed at the rear end and positioned against the intermediate block. The horizontal adjustment rod extends through the fixing member and is pivotally connected to a pushing member, enabling control of the horizontal outward movement of the fusion assembly. One end of the vertical adjustment rod passes through the horizontal adjustment rod and is threadably engaged with the pressing member, while the other end extends beyond the horizontal adjustment rod.

Abstract: A security camera system includes a security camera that captures a scene image of a scene during an installation; a scene analyzer that identifies elements within the scene according to the scene image during the installation, thereby resulting in identified elements; and a risk analyzer that assesses risk levels of intrusion for the identified elements respectively during the installation, thereby determining at least one identified element with risk level higher than a predetermined threshold as an intrusion region. The security camera generates a captured image in a general security operation after the installation, and the scene analyzer then monitors only the intrusion region for detecting intrusion.

Abstract: A method of adaptably detecting dirt, occlusion and smudge on camera lens and image sensor includes capturing an image; subjecting original pixels of the image to sampling to result in sampled pixels; excluding outliers of the sampled pixels to result in retained pixels; obtaining an average value of the retained pixels; obtaining a tolerance value according to luminance values of the retained pixels; generating a threshold value for determining dirt, occlusion and smudge on camera lens and image sensor in the image according to the tolerance value and the average value of the retained pixels; and comparing a luminance value of at least one pixel of the image with a corresponding threshold value.

Abstract: The present invention relates a multimodal emotion recognition system with edge AI accelerator. The system employs a Fuzzy Long-Short Recurrent Convolutional Network (Fuzzy LRCN) for multiple emotion classifications. The algorithm strategically utilizes only eight channels of electroencephalogram (EEG) signals and combines electrocardiogram (ECG) and photoplethysmogram (PPG) through a fuzzification engine to improve emotion recognition accuracy with minimal hardware resource consumption. The goal is to optimize hardware resource utilization, reduce system power consumption, and maximize emotion recognition accuracy. The fuzzy algorithm provides a lightweight multimodal AI model to address the issue of increased computational load caused by recognizing emotions from multiple signals.

Abstract: A method of adaptably detecting dirt, occlusion and smudge on camera lens and image sensor includes capturing an image; subjecting original pixels of the image to sampling to result in sampled pixels; excluding outliers of the sampled pixels to result in retained pixels; obtaining an average value of the retained pixels; obtaining a tolerance value according to luminance values of the retained pixels; generating a threshold value for determining dirt, occlusion and smudge on camera lens and image sensor in the image according to the tolerance value and the average value of the retained pixels; and comparing a luminance value of at least one pixel of the image with a corresponding threshold value.

Abstract: A fire alarm system with visual verification includes an image capture device that generates a captured image representing a scene under monitoring; a fire detector that detects presence of fire, the fire detector activating the image capture device to generate a captured image representing the scene when the fire detector is triggered; and a security center that receives and processes the captured image. The captured image is immediately sent to the security center for visual verification before notifying fire fighters to evacuate and rescue.

Abstract: An intruder detection system includes a millimeter-wave (mmWave) radar that detects an object and determines a property thereof; an image capture device that generates a captured image representing a scene under monitoring; and a processor that determines whether the object is a human according to an output signal of the mmWave radar.

Abstract: A security system includes a surveillance device that monitors a predetermined event and captures images in a monitor scene; and a controller that controls the surveillance device and transmits the captured images. The surveillance device adjusts image capture amount, image transmit amount, image transmit order or image resolution when the predetermined event is detected and an object is detected on the captured images.

Abstract: A fall detection system includes a radar that generates emitting radio waves and receives reflected radio waves from a person under detection, a data generator that generates a point cloud according to the reflected radio waves, an area determining device that determines a sub-area of a detecting area in which the person under detection lies, and a classifier that determines whether the person under detection falls according to the point cloud. The classifier adaptively processes the point cloud with different methods according to sub-areas as determined by the area determining device respectively to determine whether the person under detection falls.

Abstract: A security system includes a surveillance device that monitors a predetermined event and captures images in a monitor scene; and a controller that controls the surveillance device and transmits the captured images. The surveillance device adjusts image capture amount, image transmit amount, image transmit order or image resolution when the predetermined event is detected and an object is detected on the captured images.

Abstract: A home network includes a gateway and a wireless Bluetooth low energy (BLE) device. The wireless BLE device, adopting Bluetooth low energy protocol, is controlled by the gateway. When a user is at home, the gateway notifies the wireless BLE device to stop emitting an advertising signal; when the user is not at home, the gateway notifies the wireless BLE device to start emitting the advertising signal.

Abstract: A home network includes a gateway and a wireless Bluetooth low energy (BLE) device. The wireless BLE device, adopting Bluetooth low energy protocol, is controlled by the gateway. When a user is at home, the gateway notifies the wireless BLE device to stop emitting an advertising signal; when the user is not at home, the gateway notifies the wireless BLE device to start emitting the advertising signal.

Abstract: A fall detection system includes a radar that generates emitting radio waves and receives reflected radio waves from a person under detection, a data generator that generates a point cloud according to the reflected radio waves, an area determining device that determines a sub-area of a detecting area in which the person under detection lies, and a classifier that determines whether the person under detection falls according to the point cloud. The classifier adaptively processes the point cloud with different methods according to sub-areas as determined by the area determining device respectively to determine whether the person under detection falls.

Abstract: An augmented-reality system includes an image capture device that obtains a captured image, an image processing unit that receives and processes the captured image to determine space configuration of a scene; a user interface that receives a position of a fiducial point inputted by a user; and a rendering device that superimposes a fiducial mark at the position of the fiducial point on the captured image. The rendering device superimposes a first computer-generated image representing a sensor at an install height above the fiducial point and on a wall of the captured image.

Abstract: An integrated fire alarm method includes receiving a preliminary detection signal from a preliminary detector, and comparing the preliminary detection signal with a predetermined corresponding threshold; controlling a notification device to issue an early-warning notification if the preliminary detection signal is greater than the corresponding threshold; receiving a primary detection signal from a primary detector after issuing the early-warning notification, and comparing the primary detection signal with predetermined corresponding threshold; and controlling the notification device to issue a formal notification if the primary detection signal is greater than the corresponding threshold.

Abstract: A method of disarming a smart home security setting includes displaying a prompt page for instructing a user to proceed with facial image capture; capturing at least one face image of the user; allowing the user to enter a password only when an area ratio of captured face on the face image to a whole face is greater than a predetermined first threshold and an image quality of the face image is greater than a predetermined second threshold; and issuing a warning notification if identification according to the password fails.

Abstract: An integrated fire alarm method includes receiving a preliminary detection signal from a preliminary detector, and comparing the preliminary detection signal with a predetermined corresponding threshold; controlling a notification device to issue an early-warning notification if the preliminary detection signal is greater than the corresponding threshold; receiving a primary detection signal from a primary detector after issuing the early-warning notification, and comparing the primary detection signal with predetermined corresponding threshold; and controlling the notification device to issue a formal notification if the primary detection signal is greater than the corresponding threshold.

Abstract: A dynamic alarm priority system includes plural kinds of alarm devices, an alarm signal being generated when the alarm device is triggered; a plurality of image capture devices, correspondingly coupled to the alarm devices respectively, the triggered alarm device activating the corresponding image capture device to capture an alarm image; an interface device that receives the alarm signal; an assignment device coupled to receive the alarm signals, which are assigned priorities in order of time, thereby generating an initial alarm signal sequence; and an object detection device that performs object detection on the alarm image to determine whether an associated object is detected in the alarm image. The assignment device dynamically modifies the initial alarm signal sequence according to an object detection result from the object detection device, thereby generating an updated alarm signal sequence.

Abstract: A plastic composition includes a polymer component. The polymer component includes an ethylene-vinyl (EVA) copolymer, a first ethylene-?-olefin copolymer having a hardness ranging from 55 Shore A to 60 Shore A measured according to ASTM D2240, a second ethylene-?-olefin copolymer having a hardness ranging from 85 Shore A to 90 Shore A measured according to ASTM D2240, and polypropylene (PP). The plastic product made from the composition has a loss factor ratio of tan ?(?20° C.) to tan ?(40° C.) at a frequency of 10 Hz, which ranges from 2.5 to 3.8. A midsole and a method of producing the midsole are also disclosed.

Abstract: An antenna extension device includes a first part disposed on an inner surface of a panel; a second part disposed in space between an opening of a building and the panel, the opening correspondingly accommodating the panel; and a third part disposed on an outer surface of the panel. Two ends of the second part are connected to the first part and the third part respectively to form a U-shape cross-sectional profile, and the third part is connected to a feed point of a sensing device.