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IP67 MDVR System

√8CH 1080P/720P H.265 recording √Waterproof and anti-vandal AI MDVR IP67 √SD Storage MAX 512G*2 (SSD Optional) √4G Optional for online fleet management platform √With WIFI for data transmission or I-vehicle APP(Debug APP) √Basic RS232*5 ,RS485*1,USB*2 , CAN*2 √Support RFID/Fuel sensor/Tire pressure monitor/temperature sensor customized...., √ADAS/DSM/BSD/3D 360AWM AI function optional (DSM support Face ID+Seat-belt) √Built-in G-sensor support abnormal vibrations/rollover/collision/harsh acceleration harsh braking/harsh cornering alarms and upload platform automatically √IO Alarm: 10CH input 2CH output √Relay cut remote cut-off power/oil √Support GPS upload after the vehicle is powered off √Integrated MIC; supports TTS and voice broadcasting, √Free Hetu Software for fleet management √Integrated supercapacitor can keep the device running after a power outage, ensuring continuous data. √Monitor/Relay/Speed sensor/Audible alarm/ LED warning lights/Safety belt sensor/Alarm display /Cargo over-height identification instrument/Electronic throttle governor these parts optional √Operation: remote controller,USB Mouse,Mobile APP,CMS remotely √Power supply: Support 8V-36V. (Delay-off time 24H) DC11~120V for forklift √Size:186mm*53mm*174mm

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① H.265/H.264 hardware compression, powerful AI processor, with neuronal logic reasoning engine, support for deep learning algorithms. ② Integrated ADAS camera, can expand 1-2 AI camera input. Support DSM and environmental monitoring. ③ ADAS assist driving function——Integrated with ADAS camera, advanced auxiliary driving warning function can be realized (supporting lane departure detection and warning, front-vehicle collision detection and warning, vehicle proximity warning, etc.) ④ DMS camera driving behavior analysis——It can connect the DMS camera to give alarm warning and upload to the monitoring center for dangerous driving behaviors of drivers, including: fatigue (closing eyes, yawning), distraction, smoking, talking on the phone, etc ⑤ Driver face recognition function——Face recognition attendance on the basis of management can also prevent the driver illegal substitution, non-compliance of the driver operation of the problem, standardize the driver and operation management. ⑥ Beidou /GPS positioning, support the ministry of JT/T808, JT/T1076, JT/T905, Geely, Su Biao and other platforms to report transmission.

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2024 Richmor AI camera Alarm systerm Power BSD Spot detection

Advantage of this solution > Support standalone, or being integrated to any type of MDVR flexibly. > Voice of outer speaker can be adjusted in different time period. Don’t disturb the living of inhabitants. (add USD17/P to upgrade the speaker) > Content of alarm of outer speaker can be customized. Multiple languages supported.

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8CH HDD MDVR System

√8CH 1080P/720P H.265 recording √Support HDD(SSD) 2TB*1+ SD Storage MAX 512G*2 √Integrated 16GB EMMC storage √4G Optional for online fleet management platform √WIFI (Optional) for data transmission or I-vehicle APP(Debug APP) √Basic RS232*3 ,RS485*1, LAN*1,USB*2 , (VGA and CAN optional) √Support RFID/Fuel sensor/Tire pressure monitor/temperature sensor customized...., √ADAS/DSM/BSD/APC/HOD/3D 360AWM AI function optional (DSM support Face ID+Seat-belt) √Built-in G-sensor support abnormal vibrations/rollover/collision/ sudden braking /will alarm and upload platform automatically √IO Alarm: 10CH input 2CH output √Relay cut remote cut-off power/oil √Support GPS upload after the vehicle is powered off √Integrated MIC and speaker; supports TTS and voice broadcasting, √Free Hetu Software for fleet management √Operation: remote controller,USB Mouse,Mobile APP,CMS remotely √Power supply: Support 8V-36V. (Delay-off time 24H) √Size:196(W) mmx60(H)mm x188(D)mm

Richmor Ultrasonic level gauge Product Manual

Product Overview Ultrasonic level gauge is an externally attached level measurement sensor used to measure the liquid level height inside oil tanks, tanks, and containers.Sensors use the principle of ultrasonic detection to detect the oil level in the fuel tank, and then convert the oil level value into oil quantity value through intelligent processing. The oil quantity data is sent to the system platform through GPS and transmitted to the backend supervision system to achieve real-time monitoring of vehicle fuel consumption.At present, the product is mainly used in the field of vehicle networking, to monitor the changes in fuel tank oil level in real-time to achieve fuel detection. It can be used to prevent fuel theft, optimize operating costs, optimize driver driving behavior, assist in statistical decision-making, and so on. At the same time, this product can also be used in fields with liquid level detection requirements such as chemical engineering, water conservancy, and storage tanks. Working Principle Ultrasonic level gauge is based on the principle of ultrasonic echo ranging. The sensor is installed outside the bottom of the oil tank, emitting ultrasonic signals from the bottom. When it encounters the oil surface, it reflects back, and then calculates the level height based on time and speed. By combining digital signal processing technology, the influence of container walls is overcome, achieving high-precision non-contact measurement of liquid level inside the container, and meeting industrial application requirements in terms of application.
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Uber Crash Highlights Growing Safety Concern: Pedestrians

Uber Crash Highlights Growing Safety Concern: Pedestrians

richmor richmor.net 2018-04-09 10:34:22
With the development of technology, the automatic driving vehicle has entered the eye of people.

Recently, a woman in the United States went on a road test to kill a woman. This is probably the first case of a self-driving vehicle hitting a pedestrian in the world. At present, the excellent step has suspended the automatic driving field test in North America.

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Police in Tempe, Arizona, said that on the evening of March 18th, local time, a 49-year-old woman was hit by an Uber SUV that was undergoing a road test when crossing the road. The woman was taken to the hospital. She died afterward.

According to local media reports, the vehicle in question was a Volvo XC90 SUV. At the time of testing, the vehicle crashed into a woman pushing a bicycle across the road at a speed of about 65 kilometers per hour. It is understood that the accident vehicle is in automatic driving mode at the time of the incident. The driver is equipped with a safety officer and there are no passengers in the vehicle.

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According to another report, Tempe police chief Sylvia Moyle revealed that the driving recorder showed that it was very difficult to avoid the accident, whether it was automatic driving or human driving at that time because the victim was suddenly stunned from the darkness. Into the motor vehicle lane. The Tempe police reported that when the car was knocked down, the victim was outside the pedestrian crossing.

After the accident, it caused concern at home and abroad. Former US Transportation Minister Anthony Fox said on Twitter: “The accident is a warning to the entire driverless industry and government and should pay more attention to the safety of the technology.”

Lin Jian, a senior engineer at the Department of Automotive Engineering at Tsinghua University, also believes that this accident is a warning to “driverless” development companies. At present, autopilot technology is still in the development phase. Development companies should invest in the construction of their own experimental sites. They should not enter the urban roads too early to test, and they cannot pass on the risks to the public.This problem needs all vehicle tracking system supplier face together.