Abstract: A compute system includes: a control circuit configured to: a control circuit configured to: capture a sensor data stream provided by optical sensors, extract lane lines from the sensor data stream, optimize an extrinsic parameter and an extrinsic parameter based on the extract of the lane lines, and compile optimized parameters including the extrinsic parameter and the extrinsic parameter; and a communication circuit, coupled to the control circuit, configured to receive an optical sensor alert for displaying on a device.

Abstract: A compute system includes: a control circuit configured to: a control circuit configured to: capture a sensor data stream provided by optical sensors, extract lane lines from the sensor data stream, optimize an extrinsic parameter and an extrinsic parameter based on the extract of the lane lines, and compile optimized parameters including the extrinsic parameter and the extrinsic parameter; and a communication circuit, coupled to the control circuit, configured to receive an optical sensor alert for displaying on a device.

Abstract: A forming-machine equipment testing method includes: determining, by a scheduling host computer, an equipment transport task for equipment after a task start time of the equipment is reached, determining, by the scheduling host computer, whether the equipment meets the equipment transport task, and in response to the equipment meeting the equipment transport task, instructing, by scheduling host computer, an intelligent transport device to transport the equipment to a corresponding target location, so as to control the equipment to execute an equipment test task at the target location.

Abstract: The present application provides a flow test tool, a negative pressure formation apparatus, and a battery manufacturing device. The flow test tool includes a base and a flow test module mounted on the base, the flow test module is provided with a plurality of test interfaces, and the test interface is connected to a fluid channel of a mechanism to be tested one by one.

Abstract: The embodiments of the present application relate to the technical field of battery production, and disclose a formation system, comprising a clamp, a suction nozzle, and a negative pressure source, the clamp being used to clamp a battery, the suction nozzle being disposed corresponding to a liquid injection hole of the battery to collect formation exhaust gas from the battery, and the negative pressure source being connected to the suction nozzle to provide negative pressure environment for the suction nozzle, wherein there is a preset distance between the suction nozzle and the liquid injection hole of the battery to prevent electrolyte in the battery from being drawn out. The formation system according to the embodiments of the present application can prevent the loss of electrolyte caused by the electrolyte inside the battery being drawn out of a housing.

Abstract: An adaptive automobile meter detection method based on character segmentation cascade classifier which processes threshold segmentation, morphology and connected components analysis on the original image; extracts the pointer based on the contour analysis method, establishes a pointer information list; constructs a character segmentation cascade classifier by combining a HOG/SVM character segmentation classifier, a character filter and a CNN digit classifier. The character segmentation cascade classifiers is used to identify the digit character area of the automobile meter. Region analysis is performed to extract tick marks based on the center of the digit character area. The angular position corresponding to the tick mark is determined. The response value corresponding to the pointer is determined by establishing the Newton interpolation linear description relationship between the pointer angle and the response value and then the meter is classified as pass or fail.

Abstract: An adaptive automobile meter detection method based on character segmentation cascade classifier which processes threshold segmentation, morphology and connected components analysis on the original image; extracts the pointer based on the contour analysis method, establishes a pointer information list; constructs a character segmentation cascade classifier by combining a HOG/SVM character segmentation classifier, a character filter and a CNN digit classifier. The character segmentation cascade classifiers is used to identify the digit character area of the automobile meter. Region analysis is performed to extract tick marks based on the center of the digit character area. The angular position corresponding to the tick mark is determined. The response value corresponding to the pointer is determined by establishing the Newton interpolation linear description relationship between the pointer angle and the response value and then the meter is classified as pass or fail.