30 results about "Raspberry pi" patented technology

The present invention relates to a device and a system for debugging a solid state disk device, the device comprising: a joint test action group add-on board; and a Raspberry Pi. The Raspberry Pi comprises a general purpose input output interface coupled to the joint test action group add-on board; and a processing unit coupled to the general purpose input output interface. The processing unit is configured to emulate a plurality of joint test action group commands to the solid state disk device through the general purpose input output interface to dump data generated by the solid state disk device during runtime of the solid state disk device. Using the device as described above can reduce the cost required to debug the solid state disk device.

This invention relates to the field of intelligent driving assistance technology, specifically disclosing a driver state monitoring system based on intelligent image recognition. Built on a Raspberry Pi embedded platform, it includes a video acquisition module, a core algorithm processing module, and a peripheral control module. The video acquisition module is compatible with USB or CSI cameras, acquiring and preprocessing driver facial images. The core algorithm processing module incorporates a lightweight facial key point detection model to extract facial features and identify dangerous behaviors such as closed eyes and head tilting, and features a feature calibration and fatigue grading mechanism. The peripheral control module connects to alarm and display components, triggering corresponding warning actions and can be expanded to include multiple alarm methods. The system can also track continuous driving time and expand remote monitoring functionality. This invention features low hardware cost, low power consumption, convenient deployment, fast edge-side inference response, and accurate monitoring. It is adaptable to multiple scenarios, requires no manual intervention, comprehensively prevents fatigue driving, and is easy to deploy on a large scale.

1. Name of the product in this design: Adapter (PCIE to MiniPCIe). 2. Purpose of this design: To expand the MiniPCIe interface of Raspberry Pi. 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 view 1.

The application discloses a water surface floating object detection method and device based on a Raspberry Pi and an improved YOLOv5 algorithm, wherein the method comprises the following steps: first, on the basis of the original YOLOv5, a CBAM attention mechanism and a transformer module are integrated, and the model is pruned; second, the model is trained on a computer, and when the loss of the model no longer decreases and the accuracy no longer increases, the training is stopped; third, the trained model is deployed on a Raspberry Pi carried on a UAV; and fourth, a camera carried on the UAV is used to shoot a water surface photo, and the Raspberry Pi is used to detect water surface floating objects in the photo in real time. On the one hand, the improved YOLOv5 algorithm is used to detect water surface floating objects in real time, and the detection accuracy and the resource occupation of the model are optimized while the detection speed is ensured; on the other hand, the detection algorithm is realized based on the Raspberry Pi, the cost of using a graphics card and an edge device is saved, and the application has practical significance and commercial value in the field of UAV cruising.

1. Name of this product: Expansion Board (Raspberry Pi 5 PCIE to 4-channel PCIE). 2. Purpose of this design: For expansion of serial bus interface in embedded modules. 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 view 1.

1. The name of this design product: Expansion Board (Raspberry Pi PI5 Dual-Channel PCIe). 2. The purpose of this design product: Raspberry Pi PI5 expands the PCIe interface. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the design points: Stereoscopic drawing 1.

1. The name of the design product: Touch display (capacitive / resistive 3.5 inch). 2. The use of the design product: Raspberry Pi SPI display and touch device. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: Design 1 perspective view 1. 5. Design 1 is designated as the basic design.

1. Name of the product in this design: Portable testing device housing (cervical cancer). 2. Purpose of this design: As an integrated mounting platform, the front is used to mount the display screen, the rear is used to mount the Raspberry Pi development board, and the back is used to mount the camera module. 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 view 1.

The invention provides a Raspberry Pi-based navigation situation voice automatic early warning method, which comprises the following steps of: reading an NMEA0183 statement output by an AIS (Automatic Identification System) receiver, analyzing to obtain dynamic and static information of each target, and storing the dynamic and static information into a memory list by taking MMSI (Minimum Mobile Subscriber Identity) as an index; by taking the position of the ship as an original point, taking the heading of the ship as an x axis of a polar coordinate system and taking a starboard as a y axis, calculating the distance and the orientation of each target relative to the ship in the memory list, filtering out the targets in a target filtering range according to a preset Range threshold, and forming a temporary drawing list; calculating the DCPA and TCPA of each target in the temporary drawing list in real time, comparing the DCPA and TCPA with an alarm threshold value and an early warning threshold value preset by a user, and marking the target as an alarm state or an early warning state according to a comparison result; aiming at the target marked as the alarm state or the early warning state, generating a structured text field; and inputting the structured text fields into a voice synthesis module, and generating and playing complete early warning voice in real time by splicing off-line stored fixed audio paragraphs.

1. The name of the design product: double network port expansion board (Raspberry Pi CM5). 2. The use of the design product: for embedded double network port multifunctional expansion board. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

The application relates to a Raspberry Pi-based humanoid entity robot control system, which comprises a communication unit for receiving control instructions from an upper-layer application and parsing the control instructions into action instructions; a control unit connected with the communication unit, for receiving the action instructions, and performing semantic coding according to the action instructions to obtain an action semantic coding stream; an action unit connected with the control unit, for receiving the action semantic coding stream, decoding the received action semantic coding stream to obtain an action code stream, and calculating execution action data according to a control algorithm; and an execution unit connected with the action unit, the execution unit also being connected with motor and steering wheel control on the humanoid entity robot, and the execution unit being used for receiving the execution action data and controlling corresponding motors and steering wheels to execute the received execution action data. The application solves the problem that there is no Raspberry Pi-based humanoid entity robot control system at present, and fills the technical blank.

The application relates to a visual recognition device for a grouting engineering pressure dial, which comprises a dial recognition algorithm, a data transmission algorithm and a hardware system; the dial recognition algorithm is a deep learning-based object detection algorithm, and the detection algorithm is a yolov5 algorithm; the data transmission algorithm is a TCP client created on a Raspberry Pi by using a Socket programming library in C++, which is used for communication with an upper computer supporting TCP communication to realize mutual communication of reading results, and the upper computer is a TCP server during work. The application can efficiently process and analyze dial images captured by a camera. The device can quickly and accurately recognize the position and state of a dial pointer under various industrial environments, which provides important support for subsequent production or maintenance work; the device can realize data interaction and linkage control among a display screen, a camera, a PLC and other equipment, and further improves the comprehensive performance of the device.

1. The name of the design product: network expansion board (Raspberry Pi CM5 dual network port 4 / 5G). 2. The use of the design product: expansion board for embedded dual network port 4 / 5G network. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

The invention discloses an SSD (Solid State Disk) MRAM (Magnetic Random Access Memory) automatic test system and test method, device and equipment, and relates to the technical field of storage equipment test, the method comprises a Raspberry Pi platform, an SSD adapter plate and a test host; the Raspberry Pi platform is connected with the SSD adapter plate, and the SSD adapter plate is connected with the Raspberry Pi platform; the SSD adapter plate is connected with an MRAM (Magnetic Random Access Memory) chip on an SSD to be tested through an I2C bus; the test host is connected with the SSD adapter plate, and the test host is used for executing a test script so as to drive the Raspberry Pi platform to send an I2C command to the MRAM chip based on a test requirement to realize a test. According to the application, functional verification such as read-write test, data verification and the like and reliability analysis can be performed on the MRAM chip module in the SSD.

1. Name of the designed product: expansion board (Raspberry Pi PCIe to 2-CH SATA HAT+). 2. Use of the designed product: Raspberry Pi dual-channel SATA expansion board. 3. Design points of the designed product: in shape. 4. Picture or photo that best indicates the design points: perspective view.

The invention belongs to the technical field of semiconductor measurement, and particularly relates to a semiconductor direct current parameter test system based on Raspberry Pi. The test system comprises a Raspberry Pi, a switching power supply module, a floating power supply module, a voltage detection module, a current electrical measurement module, an amplification circuit module, a mode and range selection module, a clamping and integrating circuit module, a push-pull amplification circuit module, a DAC and ADC module and a signal transmission port. All the modules are connected to the PCB; according to the invention, high-precision four-quadrant source measurement and automatic measuring range switching in a wide dynamic range can be realized, and the test efficiency is greatly improved; a multiplex circuit structure is adopted, and single-system voltage measuring current applying and current measuring voltage applying are achieved; independent power supply conversion is adopted, and large-range and low-noise driving of room electricity is achieved; the circuit structure is highly integrated and the cost is controllable; according to the invention, the stability and reliability of the system can be improved, the safety of the equipment and the to-be-tested piece is guaranteed, excellent robustness is shown, and the repeatability of a test result is ensured.

The utility model relates to a CAN integrated test environment tool, comprising a database used for storing test logs and test configuration information, a Raspberry Pi, a communication MCU, and a CAN transceiver, the Raspberry Pi is connected with the database through a data line so as to upload the test logs to the database or load the test configuration information from the database; the communication MCU and the Raspberry Pi are connected through an SPI bus for bidirectional communication; the CAN transceiver is respectively connected with the communication MCU and the ECU through a CAN bus to realize bidirectional conversion between a digital signal and a differential signal. The system has the beneficial effects that a heterogeneous computing architecture in which the communication MCU is used for real-time control and the raspberry Pi is used for high-order processing is adopted, the work division is clear, the communication MCU is responsible for underlying CAN communication and GPIO interrupt response, the raspberry Pi is responsible for test logic scheduling, data analysis and report generation, bidirectional efficient data interaction between the communication MCU and the raspberry Pi is realized through an SPI bus, real-time performance and computing power are taken into consideration, and the system is suitable for large-scale popularization and application. The problem that a traditional single-MCU scheme is insufficient in performance is solved.

1. The name of the design product: expansion board (Raspberry Pi CM4-DUAL-ETH-MINI-BOX). 2. The use of the design product: used for expanding the interface of Raspberry Pi CM5. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The utility model relates to the technical field of page turning devices, and discloses parent-child interaction equipment based on Raspberry Pi, which comprises a storage platform, a page turning mechanism, the Raspberry Pi, a camera and a book pressing mechanism, the camera is suspended above the object placing platform, the object placing platform and the camera are oppositely arranged up and down, the page turning mechanism is located on the first side of the object placing platform, the page pressing mechanism is arranged on the second side and / or the third side of the object placing platform, and the second side and the third side of the object placing platform are oppositely arranged; the Raspberry Pi is electrically connected with the page turning mechanism, the camera and the page pressing mechanism. According to the method, parent-child interaction with low cost and high compatibility is realized, and automatic page turning and remote interaction functions are realized while physical book reading experience is reserved, so that interestingness and efficiency of parent-child co-reading are improved; a child can be accompanied in real time when needed; the technical problems that an existing electronic reading device affects the eyesight development of children, parent-child reading of a traditional solid book can only be achieved beside, and the attention of the children is easily distracted are solved.

The invention discloses an SPI Flash firmware extraction method and system based on Raspberry Pi, and belongs to the technical field of data recovery and extraction, and the method comprises the following steps: establishing physical connection between an SPI interface of the Raspberry Pi and an SPI Flash chip in a welding state on a PCB (Printed Circuit Board); starting an SPI drive on the raspberry Pi, and configuring the raspberry Pi as an SPI master device; an identification command is sent to the SPI Flash chip through the SPI interface, returned chip identification information is received and analyzed, and chip parameters are determined; according to the chip parameters, a reading command and an initial address are sent to the SPI Flash chip through the SPI interface, and data are read from the initial address; and storing the read data as a firmware file. According to the method and the device, non-destructive firmware extraction of the target chip is realized, the stored data can be directly read without performing desoldering operation, and the success rate and the overall efficiency of firmware extraction are improved.

The present application relates to a computer readable storage medium, a debugging method and device of a solid state disk device, the method is executed by a processing unit in a Raspberry Pi, comprising: simulating a first joint test working group command to the solid state disk device through a general input / output interface, for stopping the running of the processing unit of the flash memory controller in the solid state disk device; simulating a second joint test working group command to the solid state disk device through the general input / output interface, for letting the solid state disk device leave the hibernation mode; and simulating a third joint test working group command to the solid state disk device through the general input / output interface, for reading data of a specified length from a specified address of the static random access memory in the solid state disk device. Through the debugging method as described above in combination with the general input / output interface in the Raspberry Pi, the flexibility of the internal circuit simulator can be improved to solve the problems encountered during debugging.

The application discloses a lightweight photovoltaic direct-current arc protection device and a detection method, the device comprising a Raspberry Pi 4B master control unit, a LA25-P current acquisition unit, a ZJC2102 analog-digital conversion unit and a fault execution mechanism composed of an optical coupling isolation, a Darlington tube amplification and a solid-state relay. The master control unit is equipped with an ONNX inference engine and deploys a lightweight detection model, acquires current data at a fixed frequency and time window, and outputs a control signal to drive the execution mechanism to disconnect the fault line through a continuous multiple fault discrimination mechanism. The application utilizes the automatic feature learning capability of deep learning to reduce the dependence on artificial feature engineering, realizes high-precision, low-delay fault arc detection and rapid protection under complex working conditions such as cloud layer obstruction, light mutation, inverter start-stop, air switch switching and the like, and the model parameter quantity is only 0.04M, and the floating point operation quantity is 8.28M, which takes into account the detection accuracy and lightweight deployment requirements.

1. Name of the product in this design: Computing Module Mini Host (Raspberry Pi CIM5-IO-BASE-BOX). 2. Purpose of this design: Applicable to Raspberry Pi interface expansion. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

1. Name of the design product: expansion board (Raspberry Pi PCIE to M.2, USB). 2. Use of the design product: used for Raspberry Pi 5 M.2, USB interface expansion. 3. Design points of the design product: in shape. 4. Picture or photo best indicating the design points: perspective view 1.

This utility model relates to a fault injection test fixture, including a fault simulation module, a self-test MCU, a Raspberry Pi, and a power supply module. The fault simulation module is connected to an ECU; the self-test MCU is connected to the fault simulation module through a self-test circuit; the Raspberry Pi's SPI6 interface and the self-test MCU's SPI2 interface are bidirectionally connected via an SPI bus; the Raspberry Pi's UART4 interface is connected to an external 485 transceiver via a 485 bus; the 485 transceiver is connected to the serial communication interface of the fault simulation module and the UART2 interface of the self-test MCU via the 485 bus; the power supply module is electrically connected to the self-test MCU, the self-test circuit, the Raspberry Pi, and the fault simulation module. The beneficial effects are: by the collaborative work of the Raspberry Pi, the self-test MCU, the self-test circuit, and the fault simulation module, control and real-time monitoring of the fault simulation module can be achieved, meeting the needs of multi-channel, multi-type fault injection and improving the accuracy and reliability of the test.

The invention discloses an online hardware programming system based on an online editor and Raspberry Pi and a use method thereof, and relates to the technical field of programming education. The system comprises a Raspberry Pi development board, an external electronic device, a Raspberry Pi service program, an online programming platform based on a browser and a cloud server. The Raspberry Pi service program comprises a distribution network service, a code interpretation service and a basic service, and the online programming platform is provided with a menu bar, a programming area supporting Scratch, Python and C + +, and a console. When the system is used, environment preparation is firstly completed, then a program is written through the online programming platform and sent to the Raspberry Pi for execution, and finally codes can be stored in the cloud server. Software and hardware programming is integrated, multiple languages are supported to adapt to students of different age groups, the programming learning difficulty is reduced by means of the visual effect of hardware, the learning interest and efficiency are improved, and an integrated solution is provided for programming education of middle and primary schools.

A tool is presented herein capable of performing several electrical measurements and generating several electrical outputs. The tool can be configured to perform measurements and provide outputs most commonly utilized when developing and diagnosing failures of a hardware platform based around a microcontroller. The tool can have a form factor and a header configuration compatible for mating with an external microcontroller or minicomputer developer board such as Arduino, UDOO, Raspberry Pi, TI LaunchPad, STM Nucleo, BeagleBone, etc.

1. Name of the designed product: development board (RP2350-USB-A). 2. Use of the designed product: USB development board designed for Raspberry Pi RP2350. 3. Design points of the designed product: in shape. 4. Picture or photo best indicating the design points: perspective view 1.

The invention relates to a deep interaction implementation method and system for a virtual electronic pet, and the method comprises the steps: achieving the local semantic deep analysis based on a Raspberry Pi 4B hardware platform through the fusion of a large language model, and constructing a dynamic behavior optimization mechanism through the combination of an Alicloud sentiment analysis API and a reinforcement learning algorithm; the system can generate emotional adaptability response in real time according to the emotional state of the user; a sound and picture synchronization engine ensures that Coqui-TTS speech synthesis and OLED animation rendering realize hardware-level synchronization, and meanwhile, an RAG vector database is established to store historical interaction characteristics so as to support personalized behavior memory; a modular PCB (printed circuit board) is adopted to design and expand a GPIO (general purpose input / output) interface to support sensor expansion, and dynamic load distribution of local basic functions and cloud complex processing is realized through an edge-cloud computing hybrid architecture, so that the technical bottlenecks in the aspects of intelligent depth, interaction continuity and expandability in the prior art are essentially solved.

The invention discloses a chicken house disinfection system and method based on Raspberry Pi and a wheeled robot, and the system comprises a spraying unit which is used for spraying a disinfectant; the advancing chassis is used for advancing and moving; the multi-sensor coupling platform is integrated with a laser radar, an inertial measurement unit, a depth camera and a wheel type odometer; the central processing unit is used for receiving and processing the multi-source sampling data and carrying out path planning and navigation control, and comprises a laser SLAM processing module, a coordinate conversion module, a fusion calibration module and a time synchronization module; the motion control unit is used for receiving the instruction transmitted by the central processing unit, executing and feeding back the instruction, and controlling start and stop of the spraying unit and movement of the advancing chassis; and the communication unit is used for establishing a data communication interface and a protocol of the dual-processor cooperative control architecture. Through coordinated design of hardware and software, more efficient, safer and more intelligent henhouse disinfection work can be realized.