33 results about "Underwater vision" patented technology

A sit-on-top kayak hull having an elevated void in the area between the normal seated position of a paddlers legs. The elevated void which is formed into the hull of the watercraft and extends there-through to a height above the normal laden waterline generally to a level of the approximate height of the gunwales forms a hole in the craft which is surrounded by walls. Various modules may be inserted into the hull void for varying needs, such as storage modules, clear modules for underwater vision, or flotation modules. The hull void additionally allows for changes in the running surface of the kayak by insertion of rudders, skegs, centerboards or other devices The void may be left open in full or part for egress of scuba hoses, anchors or other marine devices without affecting the structural integrity of the kayak, its buoyancy, or adversely affecting its performance.

The present invention provides a target re-identification method based on densely connected convolutional network hypersphere embedding. Firstly, the densely connected convolutional network DenseNet extracts the underwater deformation target features in the video sequence, which greatly reduces the disappearance of gradients, strengthens feature propagation, and supports The process of feature reuse and parameter learning, and then from the perspective of fine-grained classification, from the local integration to the global, using the group average pooling idea to refine and extract the features of underwater deformation targets at all levels, to obtain more accurate underwater deformation target feature expression capabilities, and to The hypersphere loss, that is, the angular triple loss, focuses on the inter-class differences of underwater deformation individual targets, distinguishes intra-class differences, avoids directly measuring the Euclidean distance between the encoding features of underwater deformation individual targets, and constructs a complete underwater vision system with multi-point deployment. A continuous underwater deformation individual target re-identification model. The present invention finally completes the close supervision and process tracking of the underwater deformation target individual in the short-distance multi-field observation.

The invention relates to the technical field of nuclear fuel assemblies, and discloses an underwater test platform of a nuclear fuel assembly and a test method. The underwater test platform of the nuclear fuel assembly comprises a simulation water tank and an analysis part, wherein the analysis part comprises a transfer installation module, a detection module, a drive module and an analysis module; the installation module comprises an adjustable installation platform, a reflector substrate and a reflector base; the detection module comprises a to-be-detected object and a video camera; the drive module comprises a first drive part and a second drive part; the analysis module comprises a linear displacement sensor and a data analysis terminal. According to the underwater test platform of the nuclear fuel assembly and test method, through the installation module, the detection module, the drive module and the analysis module in the analysis part, underwater test o the nuclear fuel assembly becomes possible, and a specific design basis is provided for subsequent underwater vision measurement system of the nuclear power station fuel assembly.

The invention relates to the field of computer vision technology, and specifically discloses an environmental situation assessment method for autonomous grasping of underwater visual targets, aiming at the operation of underwater manipulators, the position information and risk coefficient of dangerous objects in the underwater environment are calibrated in advance Evaluating the impact of grade information on object detection and recognition networks N 1 For training, the trained target detection and recognition network N 1 It can identify the location of dangerous objects in the underwater source image taken by any monocular camera and the risk coefficient evaluation level of the dangerous object, and combine the depth estimation image to generate the corresponding environmental situation assessment map to form a loss with the environmental situation assessment true value image , so that the information fusion network N 2 Optimized, the optimized information fusion network N 2 The generated environmental situation assessment map can be used as an important basis for subsequent underwater environmental operations such as path planning, autonomous obstacle avoidance and grasping, etc., so that the robot can be guided to achieve the best behavior at a higher level.