40results about How to "Adaptive detection" patented technology

The invention discloses a device and a method for automatically detecting lens defects through modulation by an optical grating. The device comprises an isolation detecting system, a motion control system and a light source system, wherein the isolation detecting system is arranged in a camera bellows (13); the motion control system is arranged at the bottom of the camera bellows (13) and arranged on one side of the camera bellows (13); the device is characterized in that the optical grating (6) is fixed on a linear lead screw guide rail (5), a planar backlight (10) is fixed below a to-be-detected lens (4) in parallel and connected with a light source controller (11), and a main controller (12) controls the motion control system through a motion control card (9). According to the method, lens images are sampled twice through movement of the optical grating, the lens defects are classified, positioned and measured through analysis of gray values and morphological characteristics of bright and dark field images, and lens detection accuracy and efficiency are greatly improved.

The present invention is a multifunctional air purification and disinfection device performance detection system, including a wind tunnel structure, a data acquisition control system and an aerosol generation and collection system, wherein: the wind tunnel structure includes a wind tunnel, and the wind tunnel The air inlet and outlet of the wind tunnel are all provided with electric airtight valves, and the air outlet of the wind tunnel is connected to an exhaust fan. The present invention can meet the requirements of large-span air volume range and performance detection of air purification and disinfection devices of different sizes and specifications; it can measure the resistance of air purification and disinfection devices, the diameter counting efficiency and weighting efficiency of atmospheric dust and artificial dust, and the microorganisms of atmospheric bacteria and artificial bacteria Elimination efficiency, removal efficiency of gaseous pollutants such as formaldehyde and toluene and other performance indicators. In addition, the present invention can also serve as a performance testing system for "air filter for general ventilation" and "high-efficiency air filter".

A bolt torque detection device is characterized in that a rack slides up and down in the vertical direction on a rack base, wherein the rack is supported by the rack base to rotate around a horizontal line, the rack is coaxially connected with a rotating sleeve, and a tension tester is in transmission connected with the rack and drives the rack to slide; a head chuck is placed in a head supporting base hole to limit rotation of the head chuck around the horizontal line and relative to the head supporting base; rotation of a bolt head around the horizontal line and relative to the head chuck is limited; rotation of a nut chuck around the horizontal line and relative to the rotating sleeve and translation of the nut chuck along the horizontal line are limited; rotation of a nut around the horizontal line and relative to the nut chuck is limited; the nut and the bolt head are the same in height; the head supporting base is provided with a back cap hole, the end of a back cap stretches into the head supporting base hole to abut against the head chuck and the bolt head of a bolt in the head chuck, and leftward movement of the bolt head along the horizontal line and rotation of the bolt head around the horizontal line are limited. The bolt torque detection device is practical, precise, intuitive, rapid, convenient to use and low in cost and price.

The invention relates to a computer vision detection technology-based method for detecting and identifying a QR (Quick Response) code. According to the method, a computer, a digital camera, a light supplementing device and an acousto-optical prompt device are mainly comprised, wherein a video signal of the digital camera is output to the computer; after receiving input of a video sensor, the computer controls the light supplementing device and the acousto-optical prompt device; a QR code intelligent detection module is installed in the computer and used for detecting, extracting and decoding a QR code graph through circularly reading frame data in a scanning video; and if successful, a user is prompted through a buzzer. According to location characteristic detection of the QR code, the computer vision detection technology-based method for detecting and identifying the QR code solves the problem of extracting and decoding of the QR code which is defected and blocked by a locator in a complex illumination background, has the characteristics of low cost, no complex mechanical device resulting in faults easily and capability of utilizing the traditional intelligent equipment effectively and expansion of the traditional functions with an algorithm module.

The embodiment of the invention provides an underwater image target detection method and system, comprising the following steps: obtaining an underwater image to be detected, and utilizing MS-CNN denoise algorithm and dark channel prior denoising algorithm preprocess that underwater image to be detected to obtain a first image; inputting the first image into the trained preset feature pyramid network FPN, and outputting a target detection result; wherein the convolution layer of the preset FPN is a PVA network and a C. ReLU structure is added. As the underwater image to be detected is preprocessed, the improved FPN is used to detect the target from the preprocessed underwater image and output the target detection results without manual feature design. The detection process is time-consuming and the detection results have high accuracy. It can be well adapted to the practical application requirements such as automatic detection and automatic fishing.

The invention relates to an unmanned ship inland river obstacle sensing method based on a laser radar. The method comprises the steps that 1, constructing a polygonal geographic electronic fence area of a task water area online in real time by taking the position of a ship as a reference point; 2, carrying out distortion correction on the 360-degree point cloud generated by the laser radar, and combining the processed point cloud information with the position of the ship to carry out filtering according to the geo-fencing area in the step 1; 3, carrying out horizontal plane grid projection dimension reduction processing on the corrected point cloud, carrying out statistics on multi-dimensional feature information of the point cloud belonging to each grid, and calculating a target confidence coefficient of each grid according to a feature value; 4, performing noise removal, target grid segmentation and clustering processing on the grid map, extracting position and scale information of each target, and obtaining a target two-dimensional rectangular bounding box; and 5, extracting position coordinates of an obstacle target bounding box and bounding box length-width ratio information according to the front and rear frame grid maps of the laser radar, performing front and rear frame clustering target association matching, and extracting target position speed information. According to the invention, accurate acquisition of the position and size of the target is realized.

The invention relates to a control system of an automobile flashing unit, which comprises a power module, a single chip microcomputer, a switch detection module, a trailer detection module, a voltage detection module, a temperature detection module and a current detection module. The single chip microcomputer is electrically connected with the power module, the switch detection module, the trailer detection module and the voltage detection module are electrically connected with the single chip microcomputer, and the voltage detection module, the temperature detection module and the current detection module are used for detecting working states of the flashing unit in real time. The system can quickly, conveniently and effectively detect working temperature, working current and working voltage of the flashing unit and judge connection states of a trailer in real time, accordingly, a driver can judge the working states of the flashing unit more accurately, and the control system of the automobile flashing unit can meet the requirement of development of detection and control of an electric system of an integral vehicle in the future.

The invention relates to a device for detecting and comparing the performance of filters as well as a detection method. The device comprises a filter performance detecting device, a detecting source generating device used for generating a detecting source, a detecting source processing device used for detecting post-processing detecting source, and a vacuum-pumping device used for vacuumizing before detection, wherein the filter performance detecting device comprises a sealing outer housing, a detection atmosphere chamber and a vacuum chamber; a detecting filter device used for mounting of a detected filter is arranged in the vacuum chamber; the detecting source generating device is communicated with detecting atmosphere chamber through an detecting source inlet; the detecting source processing device and the vacuum-pumping device are communicated with the vacuum chamber through detecting source discharge outlets respectively; a pre-filtration detecting instrument and a post-filtration detecting instrument are arranged at the tops of the detecting atmosphere chamber and the vacuum chamber respectively. The sealing outer housing is transparent, so that the filter effect of each filter can be observed relatively intuitively, and the filter effects of different filters can be observed relatively intuitively.

The invention discloses a digital signal identification method, which belongs to the data analysis field and comprises the seven steps of: offset sampling, line segment searching, line segment classifying, hop identifying, pull-up and pull-down identifying, filter wave identifying and signal determining. The present invention is based on the characteristics of a digital signal; and through the acquisition of multistage waveform data, the signal identification accuracy is high. The determining method is simple and the various identification parameter values in the method can be changed according to the specific conditions so that the method can be adapted to the detection of data waveforms in different conditions.

The invention discloses an automatic lens flaw detection method, wherein mainly a machine vision technology and grating backlight modulation combined method is used to rapidly detect, classify and position the lens flaw. According to the present invention, a lens image is subjected to two sampling through a grating position moving method, the bright field image and the dark field image are spliced and matched based on an image isotonicity principle, and the clarification, the positioning and the measurement of the lens flaw are achieved by analyzing the gray value and the morphological features in the bright field image and the dark field image, such that the accuracy and the efficiency of the lens detection are substantially improved.

The invention discloses a short-time Fourier transformation-based intra-pulse frequency coded signal parameter measurement method and belongs to the technical field of radar signal reconnaissance. With the method adopted, parameter measurement can be performed on intra-pulse frequency coded signals under the conditions of intra-pulse fluctuation, strong interference and weak received signals in acomplex environment. The method specifically comprises the following steps that: short-time Fourier transformation (STFT) is carried out on to-be-detected signals; two-dimensional morphological filtering is carried out to smooth a noise floor; two-dimensional over-threshold detection is carried out, namely, an adaptive threshold value and a large signal threshold are calculated, with the larger one in the adaptive threshold value and the large signal threshold adopted as a current detection threshold, over-threshold detection is performed on the transformation result of the STFT; sub-codes aredetected in a two-dimensional over-threshold detection result; data corresponding to each sub-code are intercepted from the original data of the to-be-detected signals according to the detected starting and terminal positions of the sub-codes, Fourier transformation (FFT) is performed, the frequency of the sub-codes can be calculated, and other parameters of the to-be-detected signals are calculated according to the frequency of the sub-codes.

The invention discloses motor magnetic steel detection equipment which comprises a machine base. A rotating disc is arranged on the machine base, a plurality of guide rods are arranged on the rotating disc, lifting plates with axial racks are arranged on the guide rods in a sliding and sleeving mode, magnetic steel grooves and cushion block grooves are formed in the lifting plates, and first reset springs are arranged between the lifting plates and the bottoms of the guide rods. A sliding groove is further formed in each lifting plate, a retaining assembly is arranged in each sliding groove in a sliding mode, and a feeding mechanism, a magnet, at least three discharging mechanisms and an unlocking block are sequentially arranged on the machine base in the rotating direction of the rotating disc. The detection equipment can automatically classify and stack the magnetic steel with the magnetic flux meeting the requirement and the magnetic steel with the too large or too small magnetic flux, the magnetic steel is still separated by cushion blocks after detection is completed, and the detection efficiency and the detection safety are improved.

The invention discloses a slippage fork structure for cement kiln building. The slippage fork structure for cement kiln building comprises a slippage connecting body and a fork body. The slippage fork structure for cement kiln building is characterized in that an additional lifting structure is arranged between the slippage connecting body and the fork body; the additional lifting structure comprises an uplifting air cylinder set arranged on the side surface of the slippage connecting body; a lifting connecting rod is arranged on the upper part of the uplifting air cylinder; a guiding limit rail is arranged on the upper part of the fork body; an auxiliary rod body structure is arranged between the guiding limit rail and the uplifting air cylinder set; a brick building area is arranged at the lower part of the uplifting air cylinder set; a lower baffle is arranged on the lower half part of the brick building area. The slippage fork structure for cement kiln building has the beneficial effects that on the basis that the main structure and size of slippage equipment in the prior art are not changed, a lifting oil cylinder is additionally arranged on a fork frame, the fixed type fork is changed to an up-and-down moving type fork, so that the uplifting height is increased, and the fork is applicable to building and detecting kiln bodies in large diameters.

The invention discloses a liquid level detection and adjustment method with solar power supply based on a single-chip microcomputer. The method comprises the following steps of power supply starting in which a photovoltaic panel converts luminous energy into electric energy, and electric energy is supplied to a central processor via a power supply circuit so that the central processor starts working; liquid level information collection and detection in which a pressure sensor converts a pressure value into an analog voltage signal and outputs the analog voltage signal; level switch; central control in which the central processor receives the digital level, processes and analyzes a result, and then compares the result with a preset value to form a control instruction; and liquid level adjustment in which the central processor emits the control instruction and transmits the control instruction to a control circuit, the control circuit converts the control instruction into an electric signal which can be executed by a solenoid value, and the solenoid valve is open and closed to adjust the liquid level value. Power is supplied to a liquid level detection and adjustment system in the solar power supply manner, sensor technology is utilized, and according to the liquid level detection and adjustment method, non electric quantity information is converted into electric quantity information with the liquid pressure intensity principle.