6 results about "Camera placement" patented technology

An exemplary embodiment relates to a camera arrangement for vehicle object detection and avoidance. [Solution] An exemplary system includes a vehicle and at least one camera of a first camera type mounted on the vehicle. The system also includes a plurality of cameras of a second camera type mounted on the vehicle. Furthermore, the system includes a plurality of cameras of a third camera type mounted on the vehicle. The system also includes a computing device communicatively coupled to the at least one camera of the first camera type, the plurality of cameras of the second camera type, and the plurality of cameras of the third camera type. The computing device is configured to identify objects located within a first distance range from the vehicle, objects located within a second distance range from the vehicle, and objects located within a third distance range from the vehicle.

This utility model discloses a fault detection device for a current transformer, belonging to the technical field of detection devices. This fault detection device includes a support assembly, a fault detection assembly, a visual inspection assembly, and a discharge assembly. The fault detection assembly is positioned above the support assembly, while the visual inspection assembly and the discharge assembly are respectively positioned outside the support assembly. The support assembly includes a support platform with a circular hole on one side. A placement platform is installed inside the circular hole, with its upper end extending outside the hole. The placement platform is transparent. The visual inspection assembly includes a first bracket and a second bracket, respectively positioned at the upper and lower ends of the support platform. A first industrial camera is installed inside one end of each of the first and second brackets. A geared ring is connected to the upper end of the placement platform via a bearing. A vertical plate is installed on the top surface of the geared ring, and a second industrial camera is installed inside the vertical plate.

This utility model discloses a portable ocular surface imaging device, relating to the field of clinical testing technology. The portable ocular surface imaging device includes a housing with an opening on one side for placing a camera inside the housing, and a Placido disk assembly. The Placido disk assembly includes a Placido disk mounted on the housing and is conical in shape. The top of the Placido disk has a through hole, and the lens of the camera is located within the projected area of ​​the through hole. By reducing the overall size of the housing, the operator can hold the device with one hand during the imaging process, making it more portable and flexible in different environments. It is more suitable for clinical examinations or home use, reducing the user's cost and difficulty of use.

This invention discloses a kitchen management method based on AI behavior recognition, belonging to the field of food safety monitoring technology. Aiming at compliance in commercial kitchens, it proposes an end-to-end solution centered on topological priors: mapping the kitchen topology to a risk potential field, jointly optimizing camera placement and model receptive fields, implementing hierarchical desensitization at the edges and completing spatiotemporal integrated calibration; using a three-element gating system of action-object-region, superimposing contact intensity and thermal imaging evidence, and jointly encoding the skeleton and object trajectory; injecting the recognition results into a knowledge graph, triggering conflict-based open sets and generating evidence packages containing timestamps and transparent logs; forming evidence strength based on visual sensing consistency, driving linkage through dual-threshold fault tolerance bands and online write-back recalibration; and improving cross-store generalization through federated distillation and topological alignment synthesis. This solution reduces false alarms and background noise without changing hardware, stabilizes judgment boundaries, reduces false cutoffs and missed cutoffs, and ensures auditable and traceable evidence.

This invention discloses a digital twin-driven inspection method for new energy power plants, comprising the following steps: selecting and installing various types of sensors at key locations of critical equipment in the power plant; selecting suitable camera placement locations for different locations within the power plant using algorithms based on coverage and resolution optimization; completing a digital twin power plant performance model using a combination of laser scanning and camera imaging; forming an intelligent data display interface based on rule-based reasoning and machine learning, including fault prediction, diagnosis, and alarm mechanisms, thereby building a digital twin system; uploading information collected by sensors and cameras to the digital twin system using appropriate communication technologies; and completing the power plant inspection by using an inspection robot and cameras to collect power plant data. This invention, without increasing the cost budget, can simultaneously meet the requirements of real-time performance and accuracy, providing strong support for the safe and stable operation of new energy power plants.

A system for image-based validation of a target object relative to a 3D control model is configured to retrieve a 3D control model, identify coordinates for each of the components, determine virtual camera locations using a camera placement algorithm to enable a multi-view image capture of all the components of the 3D control model, position virtual cameras at the determined camera locations, capture, by real-life cameras positioned at real-life camera locations respectively corresponding to the virtual camera locations, a 3D target model of the target object, receive the 3D target model captured by the real-life cameras, generate 2D target planar images of the target object, generate 2D control planar images of the control object, detect at least one difference between the 2D target planar images and the 2D control planar images, generate a validation output indicating the at least one difference, and output the validation output.