32results about How to "Not affected by light" patented technology

The invention discloses a method for recognizing a mobile robot by comparing images. The method comprises the following steps: lighting a shot area to be shot by a mobile robot by using a single color lighting unit; shooting a position image corresponding to the shot area by the mobile robot through a camera; acquiring a reference image corresponding to a route that the mobile robot passes by the mobile robot from a known position image; comparing the position image with the reference image by the mobile robot, adjusting the position image according to a comparison result, and overlapping images of same areas of the position image and the reference image; calculating positions of a corresponding shot area of the position image relative to a corresponding track reference point of the reference image, thereby confirming a track position of the mobile robot. By adopting the mode, the mobile robot disclosed by the invention is high in stability, simple in mounting program and low in design cost, and the user experience can be greatly improved.

The invention discloses a sensing carpet, a system and a method used for monitoring pedestrian flow density in a public place. The monitoring of the pedestrian flow density is realized through the communication between the sensing carpet and a monitoring terminal by taking the sensing carpet as sensing equipment of the pedestrian flow density. A sensing detection circuit of the sensing carpet mainly comprises a detection module, a communication interface and a plurality of compression detection devices arranged in the sensing carpet in arrays; the sensing detection circuit is simple in structure, low in cost and easy to realize; the sensing carpet can be paved in various public places at any time, can be used and installed immediately, and is very convenient to install, detach and move; and the monitoring terminal can be realized by any terminal with communication, data processing and display functions, can realize portable monitoring. The processing flow of the overall system is simple, the programming difficulties of software programming personnel are reduced, the hardware performance requirements on a sensing carpet detection module and the monitoring terminal are reduced, and both the manpower and resource cost of system development can be controlled effectively.

The invention discloses a human body identification method based on a sequence depth image, comprising: collecting the sequence depth image of a human body, and using a convolutional neural network and a recursive neural network to perform regression of human body joint points based on the sequence depth image to obtain the coordinate positions of the human body joint points ; Use the coordinates of the joint points of the human body to calculate the body posture feature vector, use the static feature classifier to identify, and obtain the human body identity recognition score of the static feature; extract the human body motion behavior feature from the sequence depth image, and use the dynamic feature classifier to perform Recognition to obtain the human body recognition score of dynamic features; the weighted calculation of the static and dynamic features of the human body recognition score to obtain the human body recognition score, and then obtain the human body recognition result. The present invention has strong robustness, and the accuracy rate is not affected by application scenarios.

The invention discloses a vehicle-mounted device having a driving complete period fatigue level real-time identification and early warning function. The device mainly comprises the following modules: a cumulative driving duration acquisition module which is used for judging the cumulative operation state duration of the vehicle and determining the cumulative driving duration of the driver; a workload acquisition module which is used for judging the high-speed driving cumulative workload of the driver; a GPS module which is used for accurately judging the current moment information; a circadian rhythm acquisition module which is used for judging the circadian rhythm cumulative degree of fatigue of the current driver through a moment information circadian rhythm table; a fatigue degree value calculation module which obtains the fatigue degree value of the driver of any moment; and an early warning module which is used for giving fatigue early warning information. According to the vehicle-mounted device, fatigue level judgment can be performed on any time period in the driving process so that the traffic accident can be reduced to a certain extent, the hazard caused by the traffic accident can be reduced and driving of the driver and public traveling are enabled to be safer.

The invention provides a composite processing device and a composite processing method. The compound processing device includes: an additive manufacturing part, which irradiates energy to the workpiece in the processing area to perform additive manufacturing; a cutting processing part, which cuts the workpiece in the processing area; a cover part, covering the processing area; The light-shielding filter is arranged on at least one surface of the cover portion, and changes the light-shielding degree according to the light received from the processing area.