[New Product] Never Miss Drowsy Driving! Monitoring System to Prevent Rear-End Collisions

basic information

Detection Method: AI Facial Recognition + Infrared Sensor Detection Targets: - Eyes closed - Yawning - Looking away - Looking down - Phone calls - Smoking - Driver absence - Camera obstruction Operating Environment: Day and night, all-weather compatible, compatible with glasses and sunglasses Warning Method: Voice alarm / Vibration cushion (optional) Setting Functions: Alarm ON/OFF, sensitivity, volume, activation speed, calibration (smartphone app integration) Data Output: SD card recording, I/O output (tachograph, dashcam integration), RS232 output, video output External Connection Examples: Digital tachograph, dashcam, mobile DVR, GPS tracker Target Vehicles: Trucks, buses, company cars, construction machinery, in-plant vehicles, etc. Installation Method: Retrofit (no vehicle modification required)

Price range

P2

Delivery Time

Applications/Examples of results

It is ideal for tasks that require driver concentration, such as long-distance driving, night driving, and the transportation of hazardous materials. It has been implemented in a wide range of industries, including long-distance transportation companies, highway buses, construction site machinery, and factory-specific vehicles. Companies that have adopted it have seen a reduction in accident rates, lower insurance premiums, and improved operational management efficiency. It also enables integrated safety management in conjunction with digital tachographs and drive recorders. As part of compliance with regulations and CSR activities, it contributes to raising awareness of safe driving and enhancing brand image. It addresses the strengthening of penalties for phone calls and smartphone operations while driving, effectively reducing the risk of legal violations. Retrofitting to leased vehicles, rental cars, and company cars is also easy, allowing for company-wide safety measures while keeping the implementation burden low. *For more details, please refer to the related links or feel free to contact us.*

Detailed information

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  At Company A, the increase in long-distance and late-night deliveries has raised concerns about the risk of drowsy driving. With the introduction of Alarmi, we can detect driver fatigue and distractions in real-time and provide alerts. This has proven particularly effective in mitigating concentration decline during long hours of operation, allowing us to maintain a record of zero major accidents. Additionally, by integrating with tachographs, we can centrally manage operational data and alarm history, which is also used for safety training. The risk of accidents has decreased, and insurance premiums have been significantly reduced. Drivers have expressed positive feedback, stating that they feel a sense of security from being monitored and that their awareness is heightened as they are prompted to pay attention. In the future, we plan to expand its use for training new drivers.

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  At Company B, a long-distance bus operator, addressing the risk of drowsiness during nighttime operations became an urgent priority. They implemented the Alarmi system in all vehicles, combining high-precision detection powered by AI with optional vibration cushions. The system, which notifies only the driver while considering passenger comfort, received positive feedback. After implementation, distractions during driving significantly decreased, and the number of near-miss incidents also dropped substantially. Passenger surveys indicated a high level of satisfaction, with many stating they felt more secure. The operations management center manages alarm histories and dashcam footage in tandem, providing remote operational support in case of abnormalities. This initiative contributes to improving the safety and quality of public transportation while also reducing accident response costs and downtime losses.

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  At construction company C, contact accidents caused by distractions and fatigue while operating large construction machinery and dump trucks were a significant issue. With the introduction of Alarmi, the condition of the driver's seat is monitored in real-time. It reliably detects even with glasses or helmets on, providing immediate warnings for slight eye closures or distractions. Site supervisors also utilize alarm records to reinforce safety training. This has led to a continued record of zero major accidents. Additionally, as a measure to prevent accidents on site, it has received high praise from the client side and contributes to safety scoring during bidding.

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  In the steel mill, ensuring safety during the operation of internal vehicles in high-temperature, high-humidity, and dusty environments was required. The Alarmi operates stably regardless of day or night, weather, or dust, using infrared sensors. It accurately detects drowsiness, distraction, and downward movements, and immediately notifies with sound and vibration. It compensates for decreased attention in monotonous driving sections unique to the site, aiming to eliminate contact accidents that could lead to line stoppages. Alarm history is checked daily by the safety management department and is also used for early corrective guidance. It has received high evaluations in ISO safety management audits, and its implementation is being gradually rolled out to all internal vehicles. Field workers have also praised it, saying they can drive with peace of mind.