Our mission is
to make the world safer and more convenient.

Movon Corporation was found as a testing laboratory office of Cetecom Germany in Seoul, Korea in 1998. With the strength in testing field, Movon established wireless R&D center in 2001 and launched the first Bluetooth module in the following year, and has become a Tier-2 supplier for General Motors.
To extend more in automotive area, Movon launched Advanced Driver Assistance System business in 2011. Since its start, Movon has focused on affordable camera safety system, and developed ADAS algorithms such as Lane Departure Warning (LDW), Forward Collision Warning (FCW), and Pedestrian Collision Warning (PCW). Movon became a Tier-1 supplier for TATA Daewoo Commercial Vehicle, and supplied OEM Advanced Driver Assistance Systems .
Movon started another journey to develop AI-sensor-based driver safety products for commercial vehicle and FMS in 2018 so unveiled the RADAR Vision Fusion Algorithm and driver drowsiness and attention warning system.


79GHz Short Range RADAR Solution Development for Blind Spot Collision Warning

Movon RADAR Business Unit announced that 79GHz-RADAR-based Blind Spot Detection System was verified by a Korean PBV ( Purpose-built Vehicle ) maker.

This BSD RADAR is detecting and monitoring if there are vehicles in Blind Spot Zone and alerts a driver of a potential oncoming collision
while scanning the area behind your vehicle.

BCW ( Blind spot detection Collision Warning )

BCW is a driving assistance system that notifies the driver if another vehicle has appeared within their blind spot and is at risk of a collision.
[Working speed is over 30kmh , Max detection range is 50meters]

source : Kia 


Rear Cross Collision Warning is an advanced driving assistance system that informs the driver if a vehicle is approaching from the left or right when the driver’s vehicle is in reverse and is backing out of a parking space.

MDSM-22 camera source : Kia


After the vehicle stops, when an approaching vehicle from the rear area is detected as soon as a passenger opens a door, Safe Exit Assist will warn the driver with a warning message and an audible warning to help prevent a collision

RADAR Mapping source : Kia


79GHz millimeters wave ( Short Range Radar )

Max. Detection Range : 50meters

Azimuth FoV : 130 degree

Interface : RS485, CAN

Operating Temperature : -40 ~ 105℃​

Operating Voltage : 12V ~ 24V

ECU's MCU : ARM Cortex M3 @ 72Mhz, RTOS

3Fl. Derkwoo Bldg., 7, Seolleung-ro 94-gil, Gangnam-gu, Seoul, Korea 06161

Movon Corporation

www.movon.co.kr     jeff.song@movon.co.kr

New Ultra-Small DSM Product is unveiled at CES 2023 Show

Driver Safety & Monitoring system with deep learning technology

Drowsiness & Distraction warning and Seatbelt Reminder

MOVON corporation (CEO Song Sang-hee), a company specializing in artificial intelligence (AI) sensor-based electric equipment solutions for vehicles, will participate in the world's largest electronics fair CES 2023 (Consumer Electronics Show 2023) in Las Vegas, USA, from January 5th to 8th and launch a new driver safety and monitoring system DSM (Driver Safety & Monitoring) in North America.

According to the National Highway Traffic Safety Administration (NHTSA) report, 95% of the causes of traffic accidents come from human error, and Europe announced the EU Regulation 2021/1341 DDAW (Driver Drowsiness and Attention Warning) regulations, requiring some commercial vehicles (M2, M3, N2, N3) to be equipped with drowsy and careless driving alarms from July 6, 2022.

MOVON, a leading technology company, started supplying DSM OEM products for heavy vehicles to Tata Daewoo Commercial Vehicle for the first time in the world from late 2018, completed development of After Market products in 2020 and proactively responded to market demands and technology trends.

The MDSM-22 is an ultra-small driver monitoring system product, developed by separating the camera unit for the compact DSM and the main body equipped with AI in consideration of the narrow vehicle space. It is a structure in which an IR camera is mounted in front of the driver, and when it is determined that the driver is tired or driving carelessly, the AI algorithm automatically recognizes it and alarms by sounding an alarm sound. Facial recognition is possible regardless of driving environment and driver's facial features, and HD camera and AI algorithm are applied to realize optimal performance.

The MDSM-22 detects accident risk behavior in real time, such as drowsiness, distraction, mobile phone use, smoking, and seat-belt  by detecting △ face contour and face position △ direction detection △ eye opening and closing degree △ It detects the degree of opening and closing of the mouth and detects the risk of accidents in real time, such as sleepiness, forward motion sickness, cell phone use, smoking, and not wearing seat belts. It also passed the Photobiological Safety Test (IEC 62471) and completed verification of human safety.

MDSM-22's facial recognition algorithm is integrated with MOVON's ADAS algorithm certified by the Ministry of Land, Infrastructure and Transport for the first time in Korea in 2018 to combine dangerous situations such as lane departure, forward collision, drowsy driving, and seat belt reminder to provide drivers and collect and transmit warning event data.

MOVON has strengthened its strategic cooperation with Teltonika Telematics under Teltonika IoT Group, a leading global GPS tracker company, to provide AI-based video telematics solutions through 30 sales offices around the world. The MDSM-22 is connected to the Fleet Management Tracker of the Teltonika FMC640 model to perform the AI Fleet Camera function for safe driving support and driver monitoring.


"We will provide an improved Road Safety solution through innovative driver analysis that integrates cameras and videos," said  (Teltonika) video telematics division Product Owner.

CES 2023 Coverage Notes


Exhibition booth location: Booth No. 5977, LVCC, West hall (Automotive Exclusive Hall)

Date: January 5, 2023 (Thu)~January 8th (Sun)

Terminology Description


Photobiological safety test passed IEC 62471 standard

International standard for determining whether ultraviolet, infrared, and blue light (BLUE LIGHT) generated by lighting products are harmful to the human body such as skin, eyes, and retina.

△DDAW ( Driver Drowsiness and Attention Warning )

Monitor driver drowsiness and attention monitoring system, driver drowsiness and attention, warning the driver in a visual and audible manner when warning is required by the system.

△ADAS (Advanced Driver Assistance System)

Advanced driver assistance system, technology that controls mechanical devices by recognizing and judging the situation of the vehicle itself in some of the numerous situations that may occur while driving

Press enquiries


Director Jeff Song


the adoption of driver monitoring systems (DMS) into passenger vehicles, a feature expected to become mandatory in new cars in many countries by the end of the decade.

Source : https://www.embedded.com/the-state-of-driver-monitoring-systems-dms-today/

The state of driver monitoring systems (DMS) today

Advances in technology and new safety regulations and legislation are accelerating the adoption of driver monitoring systems (DMS) into passenger vehicles, a feature expected to become mandatory in new cars in many countries by the end of the decade.

However, experts agree that fully automated driving systems are still years, if not decades, away, making the human element a lingering part of the equation. As semi-automated driving systems become increasingly ubiquitous in passenger vehicles, a relatively new form of human error has reared its ugly head – distracted driving. Concern over distracted drivers with their eyes on their phones, tablets, etc., and failing to pay enough attention to avoid preventable collisions and other accidents continue to increase as automated driving systems have become more common. Although confirmed malfunctions in automated driving systems have been sporadic, there are still legitimate concerns about their safety, mainly regarding the element of human error.

How do car manufacturers and regulators ensure drivers operating vehicles with automated driving systems pay attention to the road? One method is utilizing technology implemented in commercial truck fleets for years (figure 1) – driver monitoring systems (DMS). DMS uses sensors to monitor the driver’s facial position and eye movements to determine whether they are alert and looking out the front windshield. If the system detects that the driver is distracted or inattentive, it will sound an alert or flash interior lights to warn them of any potential dangers on the road and apply the brakes if the driver doesn’t respond. Legislation has been introduced in the United States, the European Union, and China to make DMS a mandatory feature of new automobiles by the end of this decade. Let’s look at the current state of DMS and where it might be headed.

DMS – past and present

As previously mentioned, DMS has been used in commercial vehicle fleet management in the U.S., parts of Europe, and Asia. DMS has been found to reduce accidents in the commercial shipping and transportation industry and has helped make drivers more time-efficient and confirm their adherence to the stringent safety protocols that driving large commercial vehicles entails. Until recently, however, those systems relied primarily on human oversight of drivers, meaning video captured by DMS would need to be uploaded to the cloud and then reviewed by human watchdogs. The lag time between the driver showing signs of distraction and the human monitor activating the driver alert system was a significant drawback in the functionality of those early systems. By utilizing AI, DMS can alert drivers in real-time if their attention is perceived to have wandered.

Most DMS technologies work along similar lines. A camera equipped with infrared LED sensors is mounted on the steering column that monitors the position of the driver’s head (are they looking up at the road or down at their phone?). It also monitors the movement of the driver’s eyes and the frequency with which they blink (people blink more often when they’re drowsy than when they’re awake and alert). When the DMS determines that the driver isn’t responsive enough to possible road dangers or unsafe behaviors, like drifting in and out of lanes, it activates the driver alert system.

The DMS then lets the automated driving system take the appropriate action if the driver doesn’t intervene in time (figure 2). Lexus was the first auto manufacturer to implement DMS in a passenger vehicle back in 2006, quickly followed by Lexus’s parent companies, Toyota and Volvo. American car manufacturers like Ford and Cadillac and European companies like BMW have also developed and deployed DMS in some models. The expectation is that virtually all automobile companies will be investing in DMS in the next decade.

DMS system implementation and safety

Safety is the primary consideration in implementing driver monitoring technology. Infrared and ultrasonic sensors can monitor everything from the position of the driver’s head and hands to how frequently they blink – long periods of staring uninterrupted blinking can indicate that the driver is unfocused and/or slow to react to sudden changes in driving conditions.

DMS can also monitor a driver’s facial expressions and differentiate between active, dynamic states like frustration and anxiousness and more passive, complacent states like boredom. Future implementations could also include cooperative functionality with a driver’s medical device or health monitor. For instance, a driver’s heart monitor could relate to the DMS that the driver is experiencing a cardiac episode and safely stop and park the car while sending out a request of emergency services to respond to its location.

DMS can do more than just monitor the driver’s positioning and demeanor. It can also use object recognition to detect whether a driver is holding their phone or another handheld electronic device while behind the wheel. It can also differentiate between liquid containers, such as soda cans and beer bottles. Most aluminum cans have similar dimensions, but beer and wine bottles come in precise shapes and sizes – the DMS can alert the automated driving system that the driver may be under the influence and take over until the vehicle can be stopped safely. DMS can even detect and recognize non-human lifeforms in the driver’s seat, which could be a blow to the subset of people that think it’s safe to drive a car with a small dog sitting in their laps. In the future, facial recognition software implemented in a car’s DMS could even prevent auto theft – if someone whose face isn’t recognized by the DMS attempts to start the car, the system will lock the ignition and steering mechanisms and immediately alert the authorities.

Present and future regulatory environment

Like the implementation of most automotive safety features since the invention of the internal combustion engine, like seat belts and airbags, the adoption of DMS in new vehicles en masse will be compelled by governmental oversight and regulation. In the United States, several bills have been introduced in Congress that would allocate funds to the study and development of DMS, the first step in a long legislative process that’s working toward making DMS mandatory in all new automobiles sold in the U.S. in the future.

The U.S. House of Representatives passed the Moving Forward Act in July of 2020, a massive highway and infrastructure bill that mandated DMS systems be included in all newly manufactured vehicles with automated driving capabilities. The bill ended up sinking into the abyss of partisan politics that is the U.S. Senate. Still, including the DMS stipulation in the bill was a big step forward for proponents of safer self-driving technology. Last year, two Senate Commerce, Science, and Transportation Committee members introduced the Stay Aware For Everyone Act (SAFE). The bill would provide funding for the Department of Transportation to study the effects of distracted driving on the overall rate of road accidents and to determine how effective DMS systems are in reducing inattentive driving. If passed, the bill would give the DoT a two-year window to collect and analyze data on distracted driving and DMS (subject to privacy laws) and mandate that the Secretary of Transportation make a “final rule” on the required inclusion of DMS in newly manufactured automobiles. Consumer Reports, the National Safety Council, and other automotive safety advocacy groups have endorsed the SAFE Act. As of this writing, the SAFE act had stalled in the Senate; its future is unclear.

The transition to making DMS mandatory in new vehicles is already underway in the EU. In 2019, the EU’s Council of Ministers enacted a general safety regulation that requires all newly manufactured automobiles available in the EU to include enhanced safety features, including driver monitoring technology. The new rules begin to take effect this year. While they currently only apply to new automobiles with some automated driving capability, they will apply to all newly manufactured cars in the EU by 2026. The council estimates that this legislation will prevent over 100,000 automobile accidents in the following decade. Legislation isn’t the only way the EU is investing in DMS. The EU’s New Car Assessment Program, or Euro NCAP, now requires new cars to include driver monitoring capabilities to receive a five-star safety rating.

China, the world’s largest automotive market, has made inroads toward mandatory DMS implementation in new vehicles. In 2018, regulators in the Jiangsu province made DMS a requirement for long-haul trucking fleets and cars used to transport hazardous materials and waste to help reduce road accidents and dangerous spills. A similar national mandate was expected until the pandemic significantly reduced road traffic, making DMS legislation a lower priority. As commerce bounces back, interest in national DMS-related regulation is expected to be revived.

The future of DMS

Considering the international interest in instituting checks and balances on the mass implementation of (semi-) automated driving systems and improving driving safety, DMS seemingly has a bright future in tomorrow’s automotive market. Implementing AI has already made DMS more efficient and provided enhanced functionality.

The next stage in DMS’s development will likely be incorporating facial recognition software – Subaru already employs FR in its DriverFocus system. The system alerts the driver if they’ve looked away from the road for more than three seconds at a time while simultaneously putting the automobile’s automated driving system into a heightened state of alert in case the system needs to take over for the driver.

There are privacy concerns centered around cameras constantly capturing video while vehicles are in operation; those concerns will probably have to be addressed before facial recognition software becomes a widely accepted feature of DMS. Despite those concerns, if China’s national safety regulations and legislation in the House and Senate are eventually enacted, DMS figures will proliferate into passenger vehicles at a substantial rate over the next decade.

Get ready for your car to pay more attention to you when you’re not paying attention to the road.

GITEX Expo in Dubai and New Product Launch

Welcome to GITEX Expo in Dubai

We are exhibiting a MDSM-22 which is 3ch. AI fleet camera for Driver Safety and Monitoring.

It features Drowsiness & Distraction warning and Seat-belt reminder as well as the integration with ADAS and Video/Picture transfer via Wi-Fi.

In addition, smartphone app of MDSM-22 offers easy calibration and video download & play mode.

Please go to MDSM-22's product video link and smartphone app's download link.

Don't hesitate to contact us if you need more information on GITEX Dubai and Movon products.

MDAS-9+FMC640 solution : video and photo's on-demand transmission


Bad driving behaviour can have costly consequences. It is important to detect, assess and prevent such incidents to avoid damage to fleets, freight and people as a result of irresponsible driving. The ADAS solution developed by Teltonika Telematics has been enhanced with a new visual monitoring feature - video and photo-on-demand - which significantly extends the benefits of the current solution.





The solution consists of a windscreen-mounted ADAS and a PROFESSIONAL series vehicle GPS tracker FMC640, connected via an RS-232 serial port. The tracking device has an additional RS-232/RS-485 serial port and a 2X10 socket, allowing to expand corporate fleet monitoring capabilities. Even more, the model can use multiple LLS sensors, an additional 3 analogue inputs, 4 digital outputs for a relay, starter and engine control, as well as CAN bus data reading.

The combination of FMC640 and ADAS creates the solution that provides fleet management with the right tool for acquiring visuals from the events. The event is being mapped, therefore firstly requested photo may determine the relevance and necessity of the video material, saving time and money for unnecessary data usage. This solution allows accessing photo and video materials remotely based on the specific accident, location or time. The data from the FMC640 and ADAS might be extracted with graphical evidence along with necessary information about cargo and vehicle state tight to it. For instance, requesting a photo in case of an unidentified geofence breach. The solution gives an opportunity to combine data, analyse the patterns across the fleet and implement changes that will increase company efficiency.

Identification, prevention and implementation of continuous improvement might be some hefty tasks. However, the ADAS range of functionalities creates a perfect tool to use for the correct solution. Improvement of actual, not theoretical problems within an organisation is important and more efficient. Fact is, data gathered from real-life and in-company situations is more useful than the use of general business-related videos and photo examples for training purposes.

Brand new ADAS video and photo on-demand functionality can be also configured for periodical photo sending or video/photo transmission by a trigger. Various events of interest of bad driving and its exact location are identified, sent and stored in the server throughout the process of driving. The new ADAS visual monitoring functionality opens a possibility for a fleet manager to receive photos after the configured trigger and have an option to request a short video for up to 30 seconds for more visual data (20 seconds before the event, 10 seconds after the event). The visuals are mapped and stored for further analysis that can be used for the creation of a continuous improvement training package.

ADAS systems prevent up to 40% of car accidents and up to 29% of fatal accidents. With an additional benefit of visual monitoring functionality, the implementation of continuous improvement is more efficient and personalised. Many researchers like Robin H. Kay, 2012Wen-Jung Hsin and John Cigas, 2013Brent R. Stockwell, 2015 have examined, evaluated and confirmed the positive effect of video materials as a source of learning. Therefore, an additional feature of the ADAS solution helps to present the fleet manager with evidence of the event of interest that is further used for the evaluation, training and contribution towards training packages within the fleet management system.

All in all, inappropriate driving behaviour can lead to costly consequences, which is why it is important to prevent it in the company fleet as much as possible. The brand-new ADAS functionality, which allows requesting a video or photo based on the events or time interval of interest, provides graphical evidence of such cases for evaluation, training and evidentiary purposes.

For example, a photo will be sent immediately if there is a potential accident, or if it actually happens. So, if additional video evidence is needed, the fleet manager can also request it. Video material will not only be used as proof of occurred event to the insurance company, but also for the analysis by the company to prevent similar situations in the future. Analysing videos and photos can help you design training packages for continuous improvement, including motivational and bonus systems that increase company efficiency and help prevent future accidents.

Movon Corporation

Derkwoo Bldg., 7, Seolleung-ro 94-gil, Gangnam-gu, Seoul 06161 Korea
+82 2 2050 4600
+82 2 539 5692

Qingdao Movon Electronics Co., Ltd. (Factory)

#858-4, LingGang Rd, Huangdao Qu, Qingdao Shi, Shandong Sheng, China, 266111
+86 (0)532 8672 3300

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