A reflective seat belt

Abstract

The invention relates to a highly reflective seat belt that is used in the field of traffic safety, detects seat belt patterns reliably and efficiently thanks to smart fabric technology and artificial intelligence-supported image processing methods, enables automatic monitoring and inspection of seat belt use in the vehicle by traffic police and relevant inspection institutions, increases the detection rate with image processing systems and ensures accurate detection with fewer errors when driving without seat belts, increases road safety by facilitating the automation of seat belt inspections.

Description

[0001] A Reflective Seat Belt

[0002] TECHNICAL FIELD

[0003] The invention relates to a highly reflective safety seat belt that is used in the field of traffic safety, detects seat belt patterns reliably and efficiently thanks to smart fabric technology and artificial intelligence-supported image processing methods, enables automatic monitoring and inspection of seat belt use in the vehicle by traffic police and relevant inspection institutions, increases the detection rate with image processing systems and ensures accurate detection with fewer errors when driving without seat belts, increases road safety by facilitating the automation of seat belt inspections.

[0004] PRIOR ART

[0005] Today, the methods developed, and research conducted for seat belt detection generally focus on the detection of standard seat belts. These systems generally use image processing and artificial intelligence techniques to determine whether the seat belt is fastened or not. However, these methods face several limitations. Firstly, the low visibility of seat belts makes it difficult for image processing algorithms to accurately detect them, especially in low-light conditions or when wearing dark-colored clothing. Furthermore, if the seat belt is not visible, detection systems can produce misleading results. This is a shortcoming that negatively impacts the reliability of the present system. However, the present detection methods may occasionally yield false positive and false negative results. False positive results cause the system to detect that the seat belt is fastened even though it is not, and false negative results cause the system to detect that the seat belt is not fastened even though it is fastened. Such errors significantly reduce the reliability and accuracy of the systems. Furthermore, seat belt detection methods can exhibit inconsistent performance depending on different vehicle conditions and driver and passenger clothing types. For example, some clothing can make it difficult to detect a seat belt, while some in-car conditions can also block the accuracy of detection.

[0006] Manual inspections pose a significant problem, especially in the detection of seat belt violations by traffic police at the roadside. These inspections are time-consuming and have limited effectiveness because they require manpower and are performed inefficiently. Night driving, poor weather conditions, low light levels, and variable roadside conditions prevent such manual inspections from being effective. Additionally, factors such as reflections inwindows and complex backgrounds further complicate the accuracy of visual detection methods. These challenges appear to limit the effectiveness of seat belt inspections and indicate that the systems need to be made more advanced, efficient and reliable.

[0007] As a result of the research carried out in the literature, a Turkish patent application with the application number "2023 / 012434" and the invention titled "A SEAT BELT MONITORING SYSTEM" was found. The said application relates to a seat belt monitoring system suitable for vehicles containing a driver's seat and at least one passenger seat. However, in the said application, no indication was found regarding the highly reflective seat belt, which detects seat belt patterns reliably and efficiently thanks to smart fabric technology and artificial intelligence-supported image processing methods, and enables automatic monitoring and inspection of seat belt use in the vehicle by traffic police and relevant inspection institutions.

[0008] As a result, the problems mentioned above, which cannot be solved in the light of the existing technique, have made it necessary to make an innovation in the relevant technical field.

[0009] BRIEF DESCRIPTION OF THE INVENTION

[0010] The present invention relates to a reflective seat belt to eliminate the above-mentioned disadvantages and bring new advantages to the relevant technical field.

[0011] The main purpose of the invention is to detect seat belt patterns reliably and efficiently by means of smart fabric technology and artificial intelligence-supported image processing methods, and to enable automatic monitoring and inspection of seat belt use in the vehicle by traffic police and relevant inspection institutions thanks to its high reflectivity.

[0012] Another purpose of the invention is to increase the detection rate with image processing systems, to ensure accurate detection with fewer errors when driving without seat belts, and to increase road safety by facilitating the automation of seat belt inspections.

[0013] In order to achieve all the objects mentioned above and which will emerge from the detailed description below, the present invention is a highly reflective seat belt that is used in the field of traffic safety, detects seat belt patterns reliably and efficiently thanks to smart fabric technology and artificial intelligence-supported image processing methods, enables automatic monitoring and inspection of seat belt use in the vehicle by traffic police and relevant inspection institutions, increases the detection rate with image processing systemsand ensures accurate detection with fewer errors when driving without seat belts, increases road safety by facilitating the automation of seat belt inspections, wherein; it comprises a standard seat belt used in transportation vehicles, which ensures that the connection element on it is connected to the connection element over the passenger to ensure passenger safety, is used as a standard in every vehicle, a vehicle used by traffic units or institutions, which receives images through camera / cameras placed on the road, at the side or in certain areas to detect whether the standard seat belt is worn in vehicles, and which is taken by means of the artificial intelligence software it contains, an automatic inspection system that analyzes driver and passenger images, detects driver and passenger body positions, the placement of standard seat belts, and physical signs, and automatically determines whether the driver and passengers in the vehicle are wearing standard seat belts, a silver reflector transfer film produced using glass bead technology, which is placed on the standard seat belt and increases the detectability of the standard seat belt by automatic inspection systems or standard cameras by reflecting the light coming onto it and without using fluorescent materials, and provides accurate detection with fewer errors in driving without using the standard seat belt, has a higher reflective capacity than standard seat belts or reflective materials.

[0014] In order to best understand the structure of the present invention and its advantages with additional elements, it needs to be evaluated together with the figures described below.

[0015] BRIEF DESCRIPTION OF THE FIGURES

[0016] Figure 1 is a representative view of a reflective seat belt which is the subject of the invention.

[0017] Figure 2 is a representative view of the comparison of performance metrics of a reflective seat belt, which is the subject of the invention, and a standard seat belt.

[0018] Figure 3 is a representative view of the detection rates of driver and passenger seat belts.

[0019] The drawings are not necessarily to scale, and details not necessary to understand the present invention may be omitted. Furthermore, elements that are at least substantially identical or have at least substantially identical functions are designated by the same number.

[0020] REFERENCE NUMBERS1. Standard safety belt

[0021] 2. Silver reflector transfer film

[0022] 3. Automatic control system

[0023] DETAILED DESCRIPTION OF THE INVENTION

[0024] In this detailed description, a reflective seat belt, which is the subject of the invention, is described only with examples that will not form any limiting effect on the understanding of the subject.

[0025] A reflective seat belt comprises standard seat belt (1), silver reflective transfer film (2), automatic inspection system (3). The standard seat belt (1) is a seat belt used in transportation vehicles, which is black or has different colors and is used as a standard in every vehicle, ensuring that the connection element on it is connected to the connection element over the passenger in order to ensure passenger safety. The automatic control system (3) is an automatic system that is used by traffic units or institutions to detect whether the standard seat belt (1) is worn in vehicles, by means of camera / cameras placed on the road, at the side or in certain areas, analyzes the vehicle, driver and passenger images taken through the artificial intelligence software it contains, detects the driver and passenger body positions, the placement of standard seat belts (1) and physical signs, and determines whether the driver and passengers in the vehicle are wearing standard seat belt (1). Artificial intelligence software can detect the tension and visible signs of a belt being worn around the waist. It can also identify movements made by an unbelted driver or passenger, whether the belt is missing or not in contact with their body. This image analysis is done in real time, and digital records are created to enable traffic police to issue fines to drivers or passengers who are not wearing their seat belts. However, as stated, these systems may not work correctly, or even if they do, advanced camera systems are required. The silver reflector transfer film (2) is a film produced using glass bead technology, which is placed on the standard seat belt (1), and increases the detectability of the standard seat belt (1) by automatic inspection systems (3) or undeveloped / standard cameras by reflecting the incident light back and without using fluorescent materials, has a higher reflective capacity than standard seat belts (1) or reflective materials, preferably with a reflective power of at least 500 cd / lux and a reflective power of 500 candelas / square meter at 1 lux light intensity.

[0026] A reflective safety belt can be applied in various fields. Some of them are in the area of traffic safety inspections. With this technology, traffic police officers can perform inspections more effectively, as it enables the automatic detection of the use of the standard safety belt (1). Bypromoting the use of the standard safety belt (1) and enhancing safety standards, the risk of injury and death in possible accident situations is also reduced. In addition, vehicle manufacturers may develop systems that monitor the use of safety belts and encourage drivers. Insurance companies may perform more accurate risk assessments and offer incentives by monitoring the use of safety belts.

[0027] A reflective safety belt has been developed in order to solve the fundamental technical problems encountered in the inspections of standard safety belts (1). Among these problems are the lack of sufficient visibility of standard safety belts (1), the susceptibility to human error due to manual inspection, and the difficulty in maintaining continuity in inspection processes. Our invention utilizes a silver reflector transfer film (2) with high reflectivity capacity in order to increase the visibility of standard safety belts (1). This film has a reflectance of at least 500 cd / lux and a reflectance of 500 candela / square meter at an illumination of 1 lux. The silver reflector transfer film (2) is produced by using glass bead technology. This technology enables the seatbelt to achieve high visibility under all conditions by effectively reflecting light incident on the surface of the film. The automatic monitoring system (3) used in our invention works in integration with artificial intelligence-supported image processing techniques, increasing the detectability of seatbelt patterns. This method demonstrates higher performance compared to the detection of standard seatbelts (1). Seatbelt patterns designed using smart fabric can be detected more easily and reliably with artificial intelligence-supported image processing methods. Automating seatbelt usage through image processing methods can save time and allow the seat belt usage status to be evaluated accurately and effectively. If seatbelt usage is found to be at low levels, other inspections can be implemented to increase seatbelt usage. In this way, the invention contributes to the widespread use of standard seatbelts (1) and enhances safety standards aimed at reducing the risk of injury and death in potential accident situations. Traffic police and relevant authorities can use this technology to automatically detect seatbelt usage through traffic cameras. This system minimizes human error, increases the reliability of inspections, and contributes to the widespread use of seatbelts. In short, with the invention, visibility in inspections using image processing technology has been enhanced compared to the standard seatbelt (1).

[0028] The reflective seatbelt has been formed on a standard seatbelt (1), preferably black, by using a silver reflector transfer film (2) with high reflectivity, preferably having a reflection intensity of at least 500 cd / lux. This film is produced using glass bead technology and effectively reflects incoming light, ensuring high visibility of the seatbelt under all conditions. This system detects whether the seatbelt is fastened and ensures that the inspection processesare carried out continuously and reliably without human intervention. As a result, the reflective seatbelt increases seatbelt usage by enabling more effective inspections of standard seatbelts (1), minimizing human error, and promoting the widespread use of standard seatbelts (1). The reflective seatbelt is formed with a silver reflective strip fabric integrated onto the standard seatbelt (1). In Figure 1, a designed, illustrative drawing of the seatbelt formed with these reflective strips arranged symmetrically is seen. In our invention, equal gaps are left from both edges of the standard seatbelt (1), and preferably reflective strips with a width of one centimeter each are integrated. The silver reflector transfer film (2) used in these seatbelts is a product with high reflectivity and provides a minimum reflection intensity of 500 cd / lux. This value indicates that the material has a minimum reflection intensity of 500 candela per square meter at a light intensity of 1 lux. The reflective seatbelt is manufactured using glass bead technology, which allows it to effectively reflect light incident on its surface, and it can be used in both public and private institutions. It is particularly preferred by institutions such as the police, gendarmerie, 112 emergency services, and traffic police. This reflective transfer film holds the certifications required for work uniforms. This product, which preferably contains polyester, holds EN ISO 20471 Class II, ANSI / ISEA 107-2015 Class II, and OEKO-TEX 100 Class II certifications. The product is resistant to washing and dry-cleaning processes and exhibits high resistance to abrasion and chemicals. When washed according to the washing instructions, no reduction in reflectivity or wear is observed. It can be heat-applied to various types of fabrics such as cotton, polyester, oxford, and elastic fabrics. With these features, its use on a standard seat belt (1) has been deemed suitable.

[0029] Table 1 includes the findings obtained from detecting a standard seat belt (1) and a reflective seat belt mentioned in our invention using YOLOv9, one of the most preferred recent image processing methods. In this table, it is compared the detection rates of driver and passenger seat belts. While the standard seat belt (1) has a success rate of 43.03% for the driver and 21.38% for the passenger, the detection rates of our invention, a reflective seat belt, have increased to 63.48% and 69.57%, respectively. Our invention achieves significantly higher success rates than the standard seat belt (1) model in both categories, with an increase of 20.45% in driver detection and 48.19% in passenger detection. These results demonstrate that our invention provides a significant improvement compared to the detection of the standard seat belt (1).Passenger Success Model Driver Success Rate

[0030] Rate

[0031] Standard seat belt (1) 43,03% 21,38% Reflective seat belt 63,48% 69,57%

[0032]

[0033] Table 1.

[0034] Detection Rates of Driver and Passenger Seat Belts

[0035] Model Success Rate

[0036] Standard Seat Belt (1) 0.387

[0037] Reflective seat belt 0.647

[0038]

[0039] Table 2. Overall Detection Success Rate of Models

[0040] Table 2 shows the overall detection accuracy of the standard seat belt (1) and our invention. While the standard seat belt (1) model (EmK) has a detection success rate of 38.7%, our invention increases this rate to 64.7%. The model of our invention achieves a significant performance increase with a 26% higher success rate compared to the standard seat belt (1) model. These results demonstrate that our invention provides a significant improvement in overall detection performance compared to the standard seat belt (1) model. Moreover, these rates are not achieved with fluorescent strips. In our invention, only the silver reflector transfer film (2) produced using glass bead technology has been used. The silver reflector transfer film (2) has a high reflectivity without using fluorescent materials and ensures the effective visibility of the belt under low-light conditions. This is the most significant feature that distinguishes our invention from the prior art. Additionally, the silver reflector transfer film (2) is placed along both edges of the seat belt, preferably with a width of 1 cm, leaving equal gaps on each side. Moreover, the silver reflector transfer film (2) (reflective film), produced using glass bead technology, has a higher reflection capacity and provides more effective performance with a minimum reflectance of 500 cd / lux.

[0041] Our invention can be integrated with an image processing and artificial intelligence-based automatic monitoring system (3). This system enables the detection of standard seat belt (1) usage without human intervention and makes the monitoring processes more reliable. Furthermore, the silver reflector transfer film (2) used in our invention has high resistance to washing and abrasion. This feature ensures that the reflective strips can maintain their functionality without losing performance during long-term use. Moreover, our invention takes economic considerations into account and considers the widespread use of standard seat belts (1). The silver reflector transfer film (2) provides a solution that is both low-cost andhigh-performance under such intensive use. Since black-colored standard seat belts (1) are widely used in vehicle manufacturing, the addition of the silver reflector transfer film (2) (reflective strips) is compatible with existing systems and more cost-effective. In short, our invention takes economic considerations into account, considers the use of standard seat belts (1), and provides a solution in which the reflective strips deliver high performance at a low cost.

[0042] Our invention facilitates the inspection process of the automatic monitoring system (3) through the effective placement of the silver reflector transfer film (2) on the standard seat belt (1) and enables monitoring to be carried out using standard cameras without the need for specialized cameras. The visibility of the seat belt is enhanced using fluorescent and retroreflective materials currently used. A reflective seat belt, which is our invention, provides a more durable and high-performance solution by using reflective materials produced with glass bead technology. A reflective seat belt incorporates a silver reflector transfer film (2) and reflective strips manufactured using glass bead technology.

[0043] These reflective materials enhance the belt’s visibility in low-light and nighttime conditions. The reflective strips, symmetrically placed along both edges of the belt, increase visibility by reflecting light back. Our invention has been developed to enhance the visibility of the standard seat belt (1). In this way, it aims to minimize errors in manual inspections and increase the usage of the standard seat belt (1). Existing systems are primarily focused on sensor-based seat belt monitoring and integration with the vehicle's safety systems. Our invention, on the other hand, aims to increase visibility using reflective materials, specifically a reflective strip made of silver reflector transfer film (2). A reflective seat belt is specifically designed to enhance the visibility of the seat belt under various conditions. By offering cost-effective solutions, a reflective feature has been added to widely used standard seat belts (1) at an affordable cost. Thus, it becomes easy to detect whether the seat belt is fastened or not. The main difference of our invention is that it provides a solution that can be detected with standard cameras under visible light. In our invention, the seat belt can be detected under visible light using standard cameras. The reflective strips provide a practical solution without requiring additional equipment and allow the seat belt to be easily detected at night or in low-light conditions.

[0044] Findings indicating that our invention increases visibility in automatic detection compared to the standard seat belt (1):

[0045] Findings from test images of the standard seat belt (1):In our invention, which aims to increase the visibility of the standard seat belt (1), deep learning methods such as the YOLOv9 algorithm have been used as image processing technology to automate inspections. In order to ensure the reliability of the results and prevent randomness, the analyses were conducted over 10 different modelings. In this process, the “test” dataset was kept constant, while the “training” and “validation” datasets were varied for evaluation. For the driver test data, 280 images were used; for the passenger test data, 70 images; the training dataset contained 1,610 images, and the validation dataset contained 690 images. In Table 1, it is given the performance metrics from the training results for the standard seatbelt, and in Table 2, it is given the performance metrics from the training results for the invention.

[0046] mAP

[0047] Epoch P R mAP 50

[0048] 50-95

[0049] EmK_1 50 0,979 0,978 0,984 0,576

[0050] EmK_2 50 0,983 0,984 0,986 0,573

[0051] EmK_3 50 0,984 0,988 0,990 0,572

[0052] EmK_4 50 0,979 0,981 0,985 0,562

[0053] EmK_5 50 0,979 0,979 0,980 0,556

[0054] EmK_6 50 0,990 0,989 0,988 0,566

[0055] EmK_7 50 0,982 0,985 0,990 0,559

[0056] EmK_8 50 0,988 0,990 0,993 0,558

[0057] EmK_9 50 0,992 0,993 0,993 0,567

[0058] EmK_10 50 0,988 0,990 0,990 0,565

[0059]

[0060] Table 1. Performance metrics from the training results for the seatbelt

[0061] Epoch P R mAP 50 mAP 50-95

[0062] lnvention_1 50 0,997 0,993 0,995 0,751

[0063] Invention _2 50 0,998 0,990 0,995 0,740

[0064] Invention _3 50 0,996 0,992 0,994 0,742

[0065] Invention _4 50 0,998 0,990 0,995 0,743

[0066] Invention s 50 0,999 0,995 0,995 0,741

[0067] Invention s 50 0,999 0,997 0,995 0,733

[0068] Invention _7 50 0,999 0,999 0,995 0,749

[0069] Invention _8 50 0,995 0,988 0,995 0,742

[0070] Invention s 50 0,996 0,994 0,995 0,790

[0071]

[0072] lnvention_10 50 0,993 0,993 0,995 0,745

[0073]

[0074] Table 2. Performance metrics from the training results of our invention

[0075] In Figure 2, four main performance metrics are compared: Precision (P), Recall (R), mAP 50, and mAP 50-95. These metrics demonstrate different performance characteristics between the standard seat belt (1) (EmK) and the invention models. For both applications, the results of 10 models have been compared.

[0076] Precision Comparison:

[0077] The invention models generally have higher precision values compared to the standard seat belt (1) (EmK) models. The invention models perform approximately in the 99.7%-99.9% range, while the EmK models remain around 98%-99%.

[0078] Recall Comparison:

[0079] The invention exhibits higher recall rates compared to EmK. While the recall rates of the invention's models remain above 99%, those of the EmK designs stay within the 98%-99% range.

[0080] mAP 50 Comparison:

[0081] The invention models also demonstrate superior performance in the mAP 50 metric. While the invention reaches rates of 99.4%-99.5%, the EmK models remain in the 98%-99% range.

[0082] mAP 50-95 Comparison:

[0083] In this metric as well, the invention models create a significant difference compared to the EmK models. The invention models yield results in the range of 74%-79%, whereas the EmK models remain in the range of 55%-57%.

[0084] As a result, a reflective seat belt, which constitutes our invention, demonstrates higher performance than the standard seat belt (1) (EmK) models across all four metrics. Our invention demonstrates particularly higher success in the mAP 50-95 metric, that is, across different prediction difficulty levels.

[0085] Passenger Success Model Driver Success Rate

[0086] Rate

[0087]

[0088] Standard seat belt (1) 43,03% 21,38%

[0089] A reflective seat belt 63,48% 69,57%

[0090]

[0091] Table 3. Detection rates of driver and passenger seat belts

[0092] Figure 3 compares the driver and passenger success rates of the standard seat belt (1) and a reflective seat belt. Examining the graph, it is observed that our invention is significantly more successful than the standard seat belt (1) model in both categories.

[0093] Driver success sate:

[0094] • Standard seat belt (1): 43,03%

[0095] • A reflective seat belt: 63,48%

[0096] From the driver’s perspective, the success rate of a reflective seat belt is 20.45% higher compared to the standard seat belt (1). This indicates that a reflective seat belt provides significantly better performance in terms of driver safety.

[0097] Passenger success rate:

[0098] • Standard seat belt (1): 21 ,38%

[0099] • A reflective seat belt: 69,57%

[0100] From the passenger’s perspective, the success rate of a reflective seat belt is 48.19% higher compared to the standard seat belt (1). This difference demonstrates that a reflective seat belt is significantly more effective, particularly in terms of passenger safety. In conclusion, a reflective seat belt offers a significantly higher success rate for both the driver and the passenger compared to the standard seat belt (1), demonstrating superior performance in both categories. A reflective seat belt provides a 26% higher success rate compared to the EmK model (%38.7), achieving a success rate of 64.7%. This demonstrates that a reflective seat belt is significantly more effective in terms of performance.

[0101] Findings of test images without seat belts:

[0102] In this section, the findings related to the analysis of test images without seat belts compare the average error results obtained for unbelted driving using the YOLOv9 model.Passenger Error Model Driver Error Rate

[0103] Rate

[0104] Standard seat belt (1) 41 ,98% 4,26%

[0105] A reflective seat belt 5,59% 1 ,52%

[0106]

[0107] Table 5. Detection rates of seat belts on the driver and passenger during driving without seatbelts

[0108] Table 5 compares the driver and passenger error rates of the standard seat belt (1) and our invention, a reflective seat belt. While the driver error rate for the standard seat belt (1) model is quite high at 41.98%, this rate drops to 5.59% in our invention. The difference is 36.39%, and our invention has a much lower driver error rate. The passenger error rate drops to 1.52% with our invention, while the standard seat belt (1) model has a 4.26% error rate. The difference is 2.74% and our invention provides a significant reduction in the passenger error rate. As a result, our invention offers safer performance by significantly reducing both driver and passenger error rates.

[0109] Model Error Rate

[0110] Standard seat belt (1) 34,46%

[0111] A reflective seat belt 4,77%

[0112]

[0113] Table 6. Error rates in driving without seat belts

[0114] Table 6 compares the overall failure rates of the standard seat belt (1) and our invention, a reflective seat belt. While the standard seat belt (1) has a 34.46% error rate, a reflective seat belt shows a much lower error rate of 4.77%. The difference of 29.69% shows that a reflective seat belt is much more reliable in terms of error rate. This result clearly shows that a reflective seat belt operates with fewer errors in terms of performance compared to the standard seat belt (1) model.

[0115] A reflective seat belt, which is our invention, has been developed with reflective fabric technology and the increase in detection by image processing provides a significant improvement compared to existing seat belts. Analyses and comparisons show that our invention provides higher success rates in both driver and passenger detection and significantly reduces error rates. Specifically, when detecting driving without seat belts, a reflective seat belt with reflective fabric technology resulted in significantly fewer errors thanthe current seat belt model (34.46%), with a very low overall error rate of 4.77%. This situation reveals that a reflective seat belt provides more reliable and accurate results and provides a great advantage in detecting drivers who are not using their belts. As a result, it is seen that our invention increases the detection rate with image processing systems and ensures accurate detection with fewer errors in riding without seat belts. This technology has the potential to improve road safety by facilitating the automation of seat belt inspections.

Claims

1. CLAIMS1. A highly reflective seat belt (1 ) that can comprise,• an automatic control system (3) that is used by traffic units or institutions, takes images through camera / cameras placed on the road, at the side or in certain areas to detect whether the standard seat belt (1) is worn in vehicles, analyzes the vehicle, driver and passenger images taken through the artificial intelligence software it contains, automatically detects whether the driver and passengers in the vehicle are wearing standard seat belts (1) by detecting the driver and passenger body positions, the placement of standard seat belts (1) and physical signs,that detects seat belt patterns reliably and efficiently thanks to smart fabric technology and artificial intelligence-supported image processing methods used in the field of traffic safety, enables automatic monitoring and inspection of seat belt use in the vehicle by traffic police and relevant inspection institutions, ensures more effective seat belt inspections, minimizing human error and increasing seat belt use, characterized by comprising:• standard seat belt (1) used in transportation vehicles, which ensures that the connection element on it is connected to the connection element over the passenger to ensure passenger safety, and is used as a standard in every vehicle,• silver reflector transfer film (2), which is placed on the standard seat belt (1), increases the detectability of the standard seat belt (1) by automatic control systems (3) or standard cameras by reflecting the incident light back and without using fluorescent materials, and ensures accurate detection with fewer errors when driving without using the standard seat belt (1), and has a higher reflective capacity than standard seat belts (1) or reflective materials.

2. The highly reflective safety belt according to claim 1, characterized in that the said silver reflector transfer film (2) has a reflective power of at least 500 cd / lux and a reflective power of 500 candelas / square meter at a light intensity of 1 lux.

3. The highly reflective safety belt according to claim 1, characterized in that the said silver reflector transfer film (2) is a reflective material produced using glass bead technology to increase reflectivity.

Images