CN218400377U - Trinity freight train blind area early warning system - Google Patents
Trinity freight train blind area early warning system Download PDFInfo
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- CN218400377U CN218400377U CN202223022740.4U CN202223022740U CN218400377U CN 218400377 U CN218400377 U CN 218400377U CN 202223022740 U CN202223022740 U CN 202223022740U CN 218400377 U CN218400377 U CN 218400377U
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Abstract
The utility model discloses a three-in-one truck blind area early warning system, which comprises a shell, wherein the shell comprises a front shell and a rear shell, the shell is arranged on a truck body, and the shell can rotate and is oriented after rotating; the three-in-one truck blind area early warning system further comprises an AI visual camera, a main board and a millimeter wave radar sensor. The AI visual camera and the main board are arranged in the shell, and the main board is provided with an acousto-optic alarm unit outside the automobile; the millimeter wave radar sensor is arranged on the mainboard; the main board is provided with an MCU processor which is respectively and electrically connected with the AI visual camera, the millimeter wave radar sensor and the acousto-optic alarm unit outside the automobile; the plurality of ultrasonic sensors are all electrically connected to the MCU processor. The utility model discloses a data that the MCU treater combines AI vision camera, millimeter wave radar sensor transmission to the inside and outside audible-visual alarm unit of contrast output car reaches the purpose that the early warning is more accurate, not miss the newspaper.
Description
Technical Field
The utility model relates to a mobile unit, specific saying so relates to a trinity freight train blind area early warning system.
Background
At present, the mainstream devices for the early warning of the dead zone of the truck are an ultrasonic radar system, an AI vision recognition system and a millimeter wave radar system. See each system according to the in service behavior to have a bit and shortcoming, all have the early warning not enough and the unsafe condition, according to this condition the utility model discloses with ultrasonic radar, AI vision recognition system, millimeter wave radar, fuse together. And comparing the data by the central MCU to output more accurate early warning information.
The advantages and disadvantages of the above systems are as follows:
1. ultrasonic radar:
the advantages are that: the device is not influenced by rain, fog, wind and sand, and has very accurate detection capability on moving and fixed objects.
The disadvantages are as follows: the detection range is small, and the detection effect is influenced by the wave absorption material and refraction.
2. AI visual recognition system:
the advantages are that: human body and vehicle information are identified according to the video information, the function of early warning is achieved, the coverage area is large, and early warning is more intelligent.
The disadvantages are that: the camera dirt and poor visibility can influence the identification accuracy, false alarm and missed alarm conditions exist, and the reaction speed can be delayed.
3. Millimeter wave radar system:
the advantages are that: the sensor is not affected by rain, fog, wind and sand, and has a large sensing range. The Doppler effect is utilized to monitor the approaching object in real time, and the response is sensitive and the false alarm rate is low.
The disadvantages are that: the corresponding far object does not sense, and the fixed object does not sense.
SUMMERY OF THE UTILITY MODEL
Not enough to prior art, the to-be-solved technical problem of the utility model lies in providing a trinity freight train blind area early warning system, and the purpose of designing this trinity freight train blind area early warning system is that the early warning is more accurate, recognition scope is bigger to reduce the freight train blind area accident.
In order to solve the technical problem, the utility model discloses a following scheme realizes: the utility model discloses a three-in-one truck blind area early warning system, which comprises a shell, wherein the shell comprises a front shell and a rear shell which are connected together in a covering manner, the shell is arranged on a truck body, and the shell can rotate and is oriented after rotating;
trinity freight train blind area early warning system still includes:
an AI vision camera mounted within the housing;
the main board is arranged in the shell, and an acousto-optic alarm unit outside the automobile is arranged on the main board;
the millimeter wave radar sensor is arranged on the mainboard;
the main board is provided with an MCU processor which is respectively and electrically connected with the AI visual camera, the millimeter wave radar sensor and the acousto-optic alarm unit outside the automobile;
trinity freight train blind area early warning system still includes a plurality of ultrasonic sensor of installing around the automobile body, and a plurality of ultrasonic sensor all electrically connect to the MCU treater.
Furthermore, the rotatable structure of shell is an installation pile head on the automobile body, and this pile head has the support column of evagination, and the head end of this support column is equipped with the axle mounting groove, the backshell pass through the axle install in this axle mounting groove and form interference fit.
Further, preceding shell is equipped with the trompil, the camera lens end of AI vision camera is in this trompil department.
Furthermore, the lens end of the AI vision camera is an angle adjustable structure.
Furthermore, the MCU processor is also connected with an audible and visual alarm unit arranged in the vehicle.
Furthermore, a power management circuit is arranged on the mainboard, the power management circuit is connected with 12-36V voltage, and the anode of the power management circuit is connected with the anode of the diode D6 and the cathodes of the two TVS diodes after being connected with a protective tube;
the cathode of the power management circuit is respectively connected to the anodes of the two TVS diodes, the capacitor C15, the cathode of the polar capacitor C16, the anode of the diode D5, the 4 pins of the power management chip AM20, the 5-8 pins of the power management chip AM20, the capacitor C3 and the cathode of the polar capacitor C18 and grounded;
the cathode of the diode D6 is connected to a pin 1 of the power management chip AM 20;
the anode of the polar capacitor C16 is connected to the cathode of the diode D6;
the cathode of the diode D5 is connected with the inductor L2 and the pin 2 of the power management chip AM 20;
the other end of the capacitor C3 is connected to a pin 3 of the power management chip AM 20;
the other end of the inductor L2 outputs a voltage of +12V and is connected to the positive electrode of the polar capacitor C18.
Furthermore, a first voltage stabilizing circuit is further arranged on the mainboard, a first voltage stabilizing chip IC1 is connected in the first voltage stabilizing circuit, the VIN end of the first voltage stabilizing chip IC1 is connected with the +12V voltage output by the power management circuit, the output pin OUT of the first voltage stabilizing chip IC1 outputs the +5V voltage, a capacitor C6 and a polar capacitor C21 are respectively connected between the output pin OUT of the first voltage stabilizing chip IC1 and the GND pin of the first voltage stabilizing chip IC1, the GND pin of the first voltage stabilizing chip IC1 is grounded, and the negative end of the polar capacitor C21 is connected with the GND pin of the first voltage stabilizing chip IC 1;
the main board is also provided with a second voltage stabilizing circuit, a second voltage stabilizing chip IC4 is connected in the second voltage stabilizing circuit, the VIN end of the second voltage stabilizing chip IC4 is connected with the +5V voltage output by the first voltage stabilizing circuit, the output pin OUT of the second voltage stabilizing chip IC4 outputs +3.3V voltage, a capacitor C10 and a polar capacitor C30 are respectively connected between the output pin OUT of the second voltage stabilizing chip IC4 and the GND pin of the second voltage stabilizing chip IC4, the GND pin of the second voltage stabilizing chip IC4 is grounded, and the negative end of the polar capacitor C30 is connected with the GND pin of the second voltage stabilizing chip IC 4.
Further, the MCU processor is a singlechip IC2;
the pins 5 and 11 of the singlechip IC2 are both connected with an AI visual camera driving circuit;
a vehicle body posture sensing circuit is connected between the pins 3 and 7 of the singlechip IC2;
the 13 pins of the singlechip IC2 are connected with a parking sensing circuit;
the 12 pins of the single chip microcomputer IC2 are connected with a light-emitting alarm circuit of the acousto-optic alarm unit outside the vehicle;
the 16 pins of the singlechip IC2 are connected with a sound alarm circuit of an acousto-optic alarm unit outside the vehicle;
the pin 9 of the singlechip IC2 is connected with a signal receiving circuit;
and a pin 10 of the singlechip IC2 is connected with a signal sending circuit.
Furthermore, the AI visual camera driving circuit includes a resistor R525, a resistor R569, an NPN transistor Q7, a resistor R536, a resistor R542, a diode D3, and a resistor R539, one end of the resistor R525 and a collector of the NPN transistor Q7 are connected to the single chip IC2, the other end of the resistor R525 is connected to a voltage of +5V, an emitter of the NPN transistor Q7 is grounded, a collector of the NPN transistor Q7 is connected to one end of the resistor R569, the other end of the resistor R569 is connected to the resistor R536 and the resistor R539, the other end of the resistor R536 is connected to a base of the NPN transistor Q7 and one end of the resistor R542, the other end of the resistor R542 is connected to the other end of the resistor R539 and a cathode of the diode D3, and an anode of the diode D3 is connected to the AI visual camera data transmission interface J4.
Compared with the prior art, the beneficial effects of the utility model are that:
1. the utility model discloses a trinity freight train blind area early warning system is with AI vision camera, millimeter wave radar sensor collection in a shell, and this shell can show the optimal scope of making a video recording on making the display screen through angle regulation.
2. The utility model discloses a trinity freight train blind area early warning system can the early warning accurate, leak not report.
3. The utility model discloses a trinity freight train blind area early warning system installs a plurality of ultrasonic sensor around the automobile body, and a plurality of ultrasonic sensor are connected with the MCU treater, and the MCU treater combines AI vision camera, the data of millimeter wave radar sensor transmission to the inside and outside audible-visual alarm unit of contrast output car reaches the purpose that the early warning is more accurate, not missed the newspaper.
Drawings
Figure 1 is the utility model discloses trinity freight train blind area early warning system's functional block diagram.
Fig. 2 is the utility model discloses AI vision camera, millimeter wave radar sensor's mounting structure schematic diagram.
Fig. 3-11 are connected to form a circuit diagram of the main board of the present invention.
Fig. 12 is a power management circuit diagram of the present invention.
Fig. 13 is a diagram of a first voltage stabilizing circuit according to the present invention.
Fig. 14 is a diagram of a second voltage stabilizing circuit according to the present invention.
In the drawings, the reference numbers: lens 1, preceding shell 2, millimeter wave radar sensor 3, AI vision camera 4, mainboard 5, backshell 6, pile head 7.
Detailed Description
The technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, so that the advantages and features of the present invention can be more easily understood by those skilled in the art, thereby making more clear and definite definitions of the protection scope of the present invention. It is obvious that the described embodiments of the invention are only some of the embodiments of the invention, and not all of them. Based on the embodiments in the present invention, all other embodiments obtained by a person skilled in the art without creative work belong to the protection scope of the present invention.
Furthermore, the technical features mentioned in the different embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.
In FIGS. 3-11, the labels "A-A", "B-B", "C-C", "D-D", "E-E", "F-F", "G1-G1", "G2-G2", "G3-G3" and "G4-G4" are connected together, so that FIGS. 3-11 are connected intobase:Sub>A circuit diagram.
referring to fig. 1-14, the utility model discloses a three-in-one truck blind area early warning system, which comprises a shell, wherein the shell comprises a front shell 2 and a rear shell 6 which are connected together in a covering manner, and is characterized in that the shell is arranged on a truck body, and can rotate and orient after rotating;
trinity freight train blind area early warning system still includes:
an AI vision camera 4 mounted in the housing;
the main board 5 is arranged in the shell, and an acousto-optic alarm unit outside the automobile is arranged on the main board 5;
the millimeter wave radar sensor 3 is installed on the mainboard 5;
the main board 5 is provided with an MCU processor which is respectively and electrically connected with the AI visual camera 4, the millimeter wave radar sensor 3 and the acousto-optic alarm unit outside the vehicle;
trinity freight train blind area early warning system still includes a plurality of ultrasonic sensor of installing around the automobile body, and a plurality of ultrasonic sensor all electrically connect to the MCU treater.
A preferred technical solution of this embodiment: the rotatable structure of shell installs a pile head 7 on the automobile body, and this pile head 7 has the support column of evagination, and the head end of this support column is equipped with the axle mounting groove, backshell 6 through the axle install in this axle mounting groove and form interference fit.
A preferred technical solution of this embodiment: the front shell 2 is provided with an opening, and the lens end of the AI vision camera 4 is located at the opening.
A preferred technical solution of this embodiment: the lens end of the AI vision camera 4 is an angle adjustable structure.
A preferred technical solution of this embodiment: the MCU processor is also connected with an audible and visual alarm unit arranged in the vehicle.
A preferred technical solution of this embodiment: the main board 5 is also provided with a power management circuit, the power management circuit is connected with 12-36V voltage, and the anode of the power management circuit is connected with the anode of the diode D6 and the cathodes of the two TVS diodes after being connected with a protective tube;
the cathode of the power management circuit is respectively connected to the anodes of the two TVS diodes, the capacitor C15, the cathode of the polar capacitor C16, the anode of the diode D5, the 4 pins of the power management chip AM20, the 5-8 pins of the power management chip AM20, the capacitor C3 and the cathode of the polar capacitor C18 and grounded;
the cathode of the diode D6 is connected to pin 1 of the power management chip AM 20;
the anode of the polar capacitor C16 is connected to the cathode of the diode D6;
the cathode of the diode D5 is connected with the inductor L2 and the pin 2 of the power management chip AM 20;
the other end of the capacitor C3 is connected to a pin 3 of the power management chip AM 20;
the other end of the inductor L2 outputs a voltage of +12V and is connected to the positive electrode of the polar capacitor C18.
A preferred technical solution of this embodiment: the main board 5 is also provided with a first voltage stabilizing circuit, the first voltage stabilizing circuit is connected with a first voltage stabilizing chip IC1, the VIN end of the first voltage stabilizing chip IC1 is connected with +12V voltage output by the power management circuit, the output pin OUT of the first voltage stabilizing chip IC1 outputs +5V voltage, a capacitor C6 and a polar capacitor C21 are respectively connected between the output pin OUT of the first voltage stabilizing chip IC1 and the GND pin of the first voltage stabilizing chip IC1, the GND pin of the first voltage stabilizing chip IC1 is grounded, and the negative end of the polar capacitor C21 is connected with the GND pin of the first voltage stabilizing chip IC 1;
the main board 5 is further provided with a second voltage stabilizing circuit, a second voltage stabilizing chip IC4 is connected in the second voltage stabilizing circuit, the VIN end of the second voltage stabilizing chip IC4 is connected with the +5V voltage output by the first voltage stabilizing circuit, the output pin OUT of the second voltage stabilizing chip IC4 outputs the +3.3V voltage, a capacitor C10 and a polar capacitor C30 are respectively connected between the output pin OUT of the second voltage stabilizing chip IC4 and the GND pin of the second voltage stabilizing chip IC4, the GND pin of the second voltage stabilizing chip IC4 is grounded, and the negative end of the polar capacitor C30 is connected with the GND pin of the second voltage stabilizing chip IC 4.
A preferred technical solution of this embodiment: the MCU processor is a singlechip IC2;
the pins 5 and 11 of the singlechip IC2 are both connected with an AI visual camera driving circuit;
a vehicle body posture sensing circuit is connected between the pins 3 and 7 of the singlechip IC2;
the 13 pins of the singlechip IC2 are connected with a parking sensing circuit;
the 12 pins of the single chip microcomputer IC2 are connected with a light-emitting alarm circuit of the acousto-optic alarm unit outside the vehicle;
the 16 pins of the singlechip IC2 are connected with a sound alarm circuit of an acousto-optic alarm unit outside the vehicle;
the pin 9 of the singlechip IC2 is connected with a signal receiving circuit;
and a pin 10 of the singlechip IC2 is connected with a signal sending circuit.
A preferred technical solution of this embodiment: the AI vision camera driving circuit comprises a resistor R525, a resistor R569, an NPN triode Q7, a resistor R536, a resistor R542, a diode D3 and a resistor R539, wherein one end of the resistor R525 and a collector of the NPN triode Q7 are connected to the single-chip microcomputer IC2, the other end of the resistor R525 is connected with +5V voltage, an emitter of the NPN triode Q7 is grounded, a collector of the NPN triode Q7 is connected with one end of the resistor R569, the other end of the resistor R569 is connected with the resistor R536 and the resistor R539, the other end of the resistor R536 is connected with a base of the NPN triode Q7 and one end of the resistor R542, the other end of the resistor R542 is connected with the other end of the resistor R539 and a cathode of the diode D3, and an anode of the diode D3 is connected with an AI vision camera data transmission interface J4.
Example 2:
as shown in figures 1-14, the utility model discloses trinity freight train blind area early warning system carries out novel the integration according to the merit and demerit of each system, and it is bigger to reach the more accurate scope of early warning to reduce freight train blind area accident.
The millimeter wave radar sensor 3 and the AI vision camera 4 are integrated in a plastic shell with adjustable angle, and are arranged on the left side and the right side of the vehicle head for backward irradiation. Utilize the millimeter wave monitoring to be close the object characteristic, when having and be close the object, AI vision camera 4 also has discernment when, has the audible-visual annunciator in the control car of MCU treater, the synchronous work of audible-visual annunciator outside the car. When the vehicle is static or the pedestrian and the vehicle are static, the AI vision camera 4 identifies and generates a signal and transmits the signal to the inside and outside of the vehicle for sound and light alarm.
The left side and the right side are accurately warned and cannot be warned by the cooperation of the millimeter wave radar sensor 3 and the AI visual camera 4. And a vision blind area still exists at the right side of the vehicle head and the position right in front of the vehicle head, and according to the condition, the millimeter wave and AI vision two-in-one system supports external multi-path AI camera early warning. According to the function, an AI vision camera 4 is arranged above the vehicle head to irradiate downwards, and the identification monitoring information of the blind area position of the vehicle head is sent to the MCU processor. Meanwhile, 4 to 8 ultrasonic sensors are arranged on the right side and the front right of the vehicle head to realize that the real-time monitoring information of a static or moving object in the blind area position of the vehicle head is sent to the MCU processor, and the MCU processor is used for comparing and outputting sound-light alarm inside and outside the vehicle by combining the AI visual camera 4 and the ultrasonic radar information, so that the early warning is more accurate and is not missed.
Example 3:
the utility model discloses a AI vision camera 4's camera lens end adopts the spherical structure camera lens, through driving the spherical structure camera lens, makes the spherical structure camera lens can rotate, and then makes the camera can reach more excellent visual angle.
Example 4:
as shown in fig. 3-5, fig. 3-5 are vehicle body attitude sensing circuits having a door opening and closing interface circuit, a video output interface circuit, and a right turn sensing circuit.
Example 5:
as shown in fig. 8, fig. 8 shows the MCU processor connected to the parking sensor circuit through the J4 interface.
To sum up, the utility model discloses a trinity freight train blind area early warning system is with AI vision camera, millimeter wave radar sensor collection in a shell, and this shell can show the optimal scope of making a video recording on making the display screen through angle regulation. The utility model discloses a trinity freight train blind area early warning system can the early warning accurate, leak not report. The utility model discloses a trinity freight train blind area early warning system installs a plurality of ultrasonic sensor around the automobile body, and a plurality of ultrasonic sensor are connected with the MCU treater, and the MCU treater combines AI vision camera, the data of millimeter wave radar sensor transmission to the inside and outside audible-visual alarm unit of contrast output car reaches the purpose that the early warning is more accurate, not missed the newspaper.
The above only is the preferred embodiment of the present invention, not limiting the scope of the present invention, all the equivalent structures or equivalent flow changes made by the contents of the specification and the drawings, or directly or indirectly applied to other related technical fields, are included in the same way in the protection scope of the present invention.
Claims (9)
1. A three-in-one truck blind area early warning system comprises a shell, wherein the shell comprises a front shell (2) and a rear shell (6) which are connected together in a covering mode, and the three-in-one truck blind area early warning system is characterized in that the shell is installed on a truck body and can rotate and be oriented after rotating;
trinity freight train blind area early warning system still includes:
an AI visual camera (4) mounted within the housing;
the main board (5) is arranged in the shell, and an acousto-optic alarm unit outside the automobile is arranged on the main board (5);
the millimeter wave radar sensor (3) is mounted on the main board (5);
the main board (5) is provided with an MCU processor which is respectively and electrically connected with the AI visual camera (4), the millimeter wave radar sensor (3) and the acousto-optic alarm unit outside the vehicle;
trinity freight train blind area early warning system still includes a plurality of ultrasonic sensor of installing around the automobile body, and a plurality of ultrasonic sensor all electrically connect to the MCU treater.
2. A three-in-one truck blind area early warning system as claimed in claim 1, wherein the rotatable structure of the outer shell is a pile head (7) mounted on the truck body, the pile head (7) has a convex supporting pillar, the head end of the supporting pillar is provided with an axle mounting groove, and the rear shell (6) is mounted in the axle mounting groove through an axle and forms an interference fit.
3. A three-in-one truck blind spot early warning system according to claim 1, wherein the front shell (2) is provided with an opening, and the lens end of the AI vision camera (4) is located at the opening.
4. The three-in-one truck blind area early warning system as claimed in claim 1, wherein the lens end of the AI visual camera (4) is an angle adjustable structure.
5. The three-in-one dead zone early warning system for trucks of claim 1, wherein the MCU processor is further connected with an audible and visual alarm unit arranged in the truck.
6. The three-in-one truck blind area early warning system as claimed in claim 1, wherein the main board (5) is further provided with a power management circuit, the power management circuit is connected with a voltage of 12-36V, and the positive electrode of the power management circuit is connected with the positive electrode of the diode D6 and the negative electrodes of the two TVS diodes after being connected with the fuse;
the cathode of the power management circuit is respectively connected to the anodes of the two TVS diodes, the capacitor C15, the cathode of the polar capacitor C16, the anode of the diode D5, the 4 pins of the power management chip AM20, the 5-8 pins of the power management chip AM20, the capacitor C3 and the cathode of the polar capacitor C18 and grounded;
the cathode of the diode D6 is connected to pin 1 of the power management chip AM 20;
the anode of the polar capacitor C16 is connected to the cathode of the diode D6;
the cathode of the diode D5 is connected with the inductor L2 and the pin 2 of the power management chip AM 20;
the other end of the capacitor C3 is connected to a pin 3 of the power management chip AM 20;
the other end of the inductor L2 outputs a voltage of +12V and is connected to the positive electrode of the polar capacitor C18.
7. The three-in-one dead zone early warning system for trucks according to claim 6, wherein the main board (5) is further provided with a first voltage stabilizing circuit, the first voltage stabilizing circuit is connected with a first voltage stabilizing chip IC1, the VIN end of the first voltage stabilizing chip IC1 is connected with the +12V voltage output by the power management circuit, the output pin OUT of the first voltage stabilizing chip IC1 outputs the +5V voltage, a capacitor C6 and a polar capacitor C21 are respectively connected between the output pin OUT of the first voltage stabilizing chip IC1 and the GND pin of the first voltage stabilizing chip IC1, the GND pin of the first voltage stabilizing chip IC1 is grounded, and the negative end of the polar capacitor C21 is connected with the GND pin of the first voltage stabilizing chip IC 1;
the main board (5) is further provided with a second voltage stabilizing circuit, a second voltage stabilizing chip IC4 is connected in the second voltage stabilizing circuit, the VIN end of the second voltage stabilizing chip IC4 is connected with the +5V voltage output by the first voltage stabilizing circuit, the output pin OUT of the second voltage stabilizing chip IC4 outputs the +3.3V voltage, a capacitor C10 and a polar capacitor C30 are respectively connected between the output pin OUT of the second voltage stabilizing chip IC4 and the GND pin of the second voltage stabilizing chip IC4, the GND pin of the second voltage stabilizing chip IC4 is grounded, and the negative end of the polar capacitor C30 is connected with the GND pin of the second voltage stabilizing chip IC 4.
8. The three-in-one truck blind area early warning system as claimed in claim 1, wherein the MCU processor is a single chip microcomputer IC2;
the pins 5 and 11 of the singlechip IC2 are both connected with an AI visual camera driving circuit;
a vehicle body posture sensing circuit is connected between the 3 pins and the 7 pins of the singlechip IC2;
the 13 pins of the singlechip IC2 are connected with a parking sensing circuit;
the 12 pins of the single chip microcomputer IC2 are connected with a light-emitting alarm circuit of the acousto-optic alarm unit outside the vehicle;
the 16 pins of the singlechip IC2 are connected with a sound alarm circuit of an acousto-optic alarm unit outside the vehicle;
the pin 9 of the singlechip IC2 is connected with a signal receiving circuit;
and a pin 10 of the singlechip IC2 is connected with a signal sending circuit.
9. The three-in-one truck blind area early warning system as claimed in claim 8, wherein the AI visual camera driving circuit comprises a resistor R525, a resistor R569, an NPN triode Q7, a resistor R536, a resistor R542, a diode D3, and a resistor R539, one end of the resistor R525 and a collector of the NPN triode Q7 are connected to the single chip IC2, the other end of the resistor R525 is connected to +5V, an emitter of the NPN triode Q7 is grounded, a collector of the NPN triode Q7 is connected to one end of the resistor R569, the other end of the resistor R569 is connected to the resistor R536 and the resistor R539, the other end of the resistor R536 is connected to a base of the NPN triode Q7 and one end of the resistor R542, the other end of the resistor R542 is connected to the other end of the resistor R539 and a cathode of the diode D3, and an anode of the diode D3 is connected to an AI visual camera data transmission interface J4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202223022740.4U CN218400377U (en) | 2022-11-14 | 2022-11-14 | Trinity freight train blind area early warning system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202223022740.4U CN218400377U (en) | 2022-11-14 | 2022-11-14 | Trinity freight train blind area early warning system |
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| Publication Number | Publication Date |
|---|---|
| CN218400377U true CN218400377U (en) | 2023-01-31 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN202223022740.4U Active CN218400377U (en) | 2022-11-14 | 2022-11-14 | Trinity freight train blind area early warning system |
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| CN (1) | CN218400377U (en) |
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- 2022-11-14 CN CN202223022740.4U patent/CN218400377U/en active Active
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| CP03 | Change of name, title or address |
Address after: 518000, Room 501, No. 39 Shabeili East Lane, Longxin Community, Baolong Street, Longgang District, Shenzhen City, Guangdong Province Patentee after: Shenzhen Weisen Automobile Technology Co.,Ltd. Country or region after: China Address before: Room 201, building B, No. 81, Shapei Li Er Road, Longxin community, Baolong street, Longgang District, Shenzhen City, Guangdong Province Patentee before: Shenzhen Weisen Automobile Technology Co.,Ltd. Country or region before: China |