13 results about "Vehicle counting" patented technology

The invention discloses a configurable dynamic vehicle-mounted dimming method and system for tunnel lamp illumination, and the method comprises the following steps: dividing a target tunnel into a plurality of dimming sections, further dividing a dimming loop in each dimming section, and carrying out the deployment of an illumination unit and an incoming vehicle detector based on a division result; a dimming counting interval of a logic level is constructed, a dynamic mapping relation is established between the dimming counting interval and a dimming loop of a physical level, and the dimming counting interval is a minimum logic unit used for vehicle tracking and counting; an independent vehicle counter is configured for each dimming counting interval, and a counting updating rule is set; configuring a security policy for counting function activation and dimming execution; and responding to the triggering of the coming vehicle detector, updating the vehicle count in the dimming counting interval in real time, and adjusting the brightness of the dimming loop based on the security policy. Compared with the prior art, the configurable dynamic vehicle-mounted dimming method and the configurable dynamic vehicle-mounted dimming system have remarkable progress in the aspects of energy conservation and safety.

The present application relates to the technical field of vehicle battery replacement, in particular to a battery replacement station battery replacement queuing vehicle counting method, device, equipment and storage medium, the present application discloses a kind of battery replacement station battery replacement queuing vehicle counting method, the battery replacement station battery replacement queuing vehicle counting method includes: detecting new energy battery replacement vehicle in the preset queuing area of battery replacement station that meets queuing condition;The vehicle attribute and historical battery replacement data of each new energy battery replacement vehicle are obtained;Through the trained battery replacement prediction model, whether each new energy battery replacement vehicle exists battery replacement demand is predicted according to the vehicle attribute and the historical battery replacement data;The number of target new energy battery replacement vehicle that exists battery replacement demand is determined, by obtaining the vehicle attribute and historical battery replacement data of new energy battery replacement vehicle in the preset queuing area of battery replacement station that meets queuing condition, input to the trained battery replacement prediction model, to predict whether new energy battery replacement vehicle exists battery replacement demand, improve the precision of the vehicle battery replacement queuing number calculation of battery replacement station.

This utility model relates to the field of municipal supplies, specifically a portable road vehicle counter, including a laser emission counter, a clock module, a microprocessor, a memory, and a power supply module. The laser emission counter includes a transmitter and a receiver respectively located on both sides of the road segment to be measured. The transmitter emits a laser beam, and the receiver receives the laser beam and generates an electrical signal. The clock module, laser emission counter, and memory are all communicatively connected to the microprocessor. When the microprocessor receives a counting signal triggered by a vehicle blocking the laser beam, it simultaneously acquires the current time information provided by the clock module, binds the counting result corresponding to the counting signal with the time information, and stores it in the memory. This solution can count the number of vehicles passing through within a certain time period, thereby determining the frequency and temporal pattern of traffic congestion on a certain road segment, allowing for adjustments to construction organization and facilitating road engineering modifications.

1. Name of the product in this design: Magnet Mounting Bracket (THDS Equipment). 2. Purpose of this design: To provide a mounting platform for the magnetic signal sensor of an infrared shaft temperature detection system (THDS device). Magnet steel signal sensors are an important component of railway infrared axle temperature detection systems (THDS equipment), providing the system with start / stop signals and axle / vehicle counting signals. The magnet mounting bracket allows the magnet signal sensor to be installed on the rail, meeting the relevant dimensional requirements. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D model 2. 5. The enlarged view of part A is a partial enlarged view of part A in 3D diagram 2.

A parking facility that includes two or more parking areas / levels / sublots that are subject to different parking rules and / or cost structures employs cameras to monitor exit events for each separate parking area / level / sublot that is subject to different parking rules and / or cost structures. Vehicle parking is monitored for each different parking area by reading a vehicle characteristic with a camera, such as a license plate reading (LPR) camera where plates of vehicles exiting each sublot can be read. As the vehicle is determined to be exiting a first sublot, it is removed from the tally for that first sublot and simultaneously added to the tally for the second sublot. Additional sublots are monitored and tallied in a similar manner.

The present disclosure provides an image-based vehicle recognition method, device, system, equipment and storage medium. The method comprises: inputting the acquired vehicle image into a trained vehicle recognition network to output a vehicle position distribution map, a vehicle counting density map and a multi-scale candidate region attention map; determining a vehicle positioning result and a vehicle counting result according to the vehicle position distribution map and the vehicle counting density map; determining a dense area with dense vehicle distribution in the vehicle image according to the multi-scale candidate region attention map; inputting the local image of the dense area into the vehicle recognition network after resolution magnification to output an accurate vehicle position distribution map and a vehicle counting density map of the corresponding area, and then determine the accurate vehicle positioning and counting result of the corresponding area, replace the vehicle positioning and counting result of the corresponding area in the vehicle image, and obtain the accurate vehicle positioning and counting result of the vehicle image. The present disclosure realizes accurate recognition of the number and position of vehicles in the image.

The utility model discloses a numerical control turning auxiliary tool for machining a nitrogen cylinder lower cover workpiece, relates to the technical field of numerical control turning auxiliary tools, and aims to solve the problem that a three-jaw chuck on a numerical control lathe cannot clamp a nitrogen cylinder lower cover. The clamping end of the transition piece is round and used for being clamped with a three-jaw chuck, the end, away from the three-jaw chuck, of the transition piece is coaxially connected with a connecting rod, the connecting rod is coaxially sleeved with a workpiece body, and the end, away from the transition piece, of the connecting rod is connected with a pressing plate.

The present disclosure is a vehicle counting system that performs: acquiring a signal measured by an optical fiber vibration measurement device to which an optical cable having a crossing section laid to cross a road or a railway is connected; calculating a vibration waveform of the crossing section using the acquired signal; and counting the number of vehicles that passed through the crossing section on the basis of the calculated number of vibration waveforms.

The application relates to the technical field of artificial intelligence, and provides a vehicle counting method and device, electronic equipment and a storage medium, the method comprises the following steps: acquiring an original image collected, and performing first preprocessing on the original image to obtain a first image, wherein the original image contains a plurality of vehicles; performing a first morphological operation on the first image to obtain a plurality of contours in the original image; determining a target contour based on the plurality of contours, and performing distance transformation on the target contour to obtain a distance transformation image; performing second preprocessing on the distance transformation image to obtain a second image; performing a second morphological operation on the second image to calculate the number of vehicles in the original image. The application separates the adhered vehicles for multiple times through the morphological operation on the preprocessed image, and the accuracy of vehicle counting is improved.

The invention belongs to the technical field of intelligent traffic control, and discloses a phase sequence-duration coordinated fine-grained artificial intelligence traffic signal control method and device. The method comprises the following steps: firstly, obtaining vehicle position and speed data of each entrance lane of a signalized intersection, dividing cells with gradual change lengths, collecting vehicle count and average speed in the cells, constructing a two-channel 3D traffic state tensor, and realizing fine-grained sensing; secondly, a Transform encoder is adopted to process a state tensor output global representation, a state value and a dominant function are subjected to parallel calculation based on a D3QN architecture, Q value overestimation is avoided through a double-Q network, and artificial intelligence decision optimization is completed; thirdly, introducing a priority experience playback mechanism, determining a sample priority and sampling according to a TD error, adjusting loss and optimizing training efficiency in combination with an importance weight, designing a phase sequence-duration coordination action pair, constraining the maximum green light duration and continuous expansion times of a straight-going / left-turning phase sequence, avoiding phase sequence hunger, and realizing fine-grained action control.

The application discloses a dense vehicle counting method based on a deep space-time network, and comprises the following steps: sending a counting image to the first ten layers of VGG-16 through MSCNet to extract initial image features; adopting a direction-based perspective coding module to code global features in four directions; designing a multi-scale hollow residual module for extracting different scale feature information, combining different layers in the module through a cascading method to form multiple hollow convolution rates, and solving the gradient disappearance problem caused by the deep network through residual connection; and learning the weight of different channel features through a channel perception attention module to enhance the vehicle features extracted in a mixed scene. The application counts vehicles through MSCNet, which is a single-column multi-branch network based on CNN and adopts an end-to-end cascading framework, can effectively mine the space-time data in traffic jam images, predict a high-quality density map and calculate the number of vehicles, and has high counting precision for vehicles.

The application discloses a configurable dynamic vehicle-following dimming method and system for tunnel lamp lighting, which comprises the following steps: dividing a target tunnel into several dimming sections, further dividing dimming loops in each dimming section, and deploying lighting units and vehicle detector based on the division result; constructing a dimming counting interval at a logical level, and establishing a dynamic mapping relationship with a dimming loop at a physical level, wherein the dimming counting interval is the minimum logical unit for vehicle tracking and counting; configuring an independent vehicle counter for each dimming counting interval and setting a counting update rule; configuring a safety strategy for activating and dimming execution of the counting function; in response to the triggering of the vehicle detector, updating the vehicle count of the dimming counting interval in real time, and adjusting the brightness of the dimming loop based on the safety strategy. The configurable dynamic vehicle-following dimming method and system of the application have significant progress in energy saving and safety compared with the prior art.

The invention discloses a parameter attention-free vehicle target counting method and system suitable for a roll-on roll-off wharf scene. The method comprises the following steps: acquiring a high-angle aerial image of the roll-on-roll-off wharf; the image is input into an improved YOLO-SimAM model for vehicle target recognition, and the model deeply embeds a SimAM parameter-free attention mechanism in a YOLO backbone network to enhance the attention of the model to a vehicle target area; generating a horizontal bounding box of each vehicle according to prediction parameters output by the model; and counting the number of all effective bounding boxes to obtain the total number of vehicles. According to the method, a parameter-free attention mechanism is introduced, so that the model can effectively utilize global context information of regular arrangement of vehicles in the roll-on roll-off wharf, the recognition capability of vehicles with fuzzy characteristics or shielded vehicles is improved, and high-precision and automatic vehicle counting is realized.