FAQs

• How to Choose a Correct Partner for Your Fleet Management System? 

  Cameras are everywhere. They have revolutionized industries from healthcare and manufacturing to retail and transport. Implementing dash cams into your fleet management software will bring unprecedented levels of visibility into your business. But choosing the right technology partner is almost as important as the camera itself.

  Understand Goals

  The first step towards selecting a dash cam that’s right for your fleet is to understand your objectives and set proper goals. Ask yourself and those in the business that will use the system “What is the motivating factor behind installing dash cams and how the data collected can help your business achieve its objectives？” Most businesses implement integrated cameras to help improve driver safety, but the benefits of the right technology can go beyond this and drive improvements in productivity, cost reduction, compliance and vehicle ownership cost.

  Setting the right goals, both short and long-term, and implementing structures to track and measure key performance indicators is one of the most critical elements of a successful implementation and this should be a consideration when choosing a supplier. You should look for a partner that takes the time to understand your goals, has a proven track record of helping customers build solutions that meet their objectives and can demonstrate its capabilities to support on-boarding and ongoing training.

  

• How to Choose the Right Fleet Dash cam

  Dash cams and in-vehicle camera solutions, provide numerous benefits to fleets, including improved driver safety, reduced on-road incidents, and lower insurance costs. But with so many systems on the market, from consumer-grade to professional, picking the right cameras can be a challenge. When looking for a solution that can work across a fleet, one of the keys to success is integration, and how well the dash cams connect into fleet management software.

  When it comes to fleet dash cams, there are many options from which to choose. Here are a few of the most essential features to consider:

  ** Fully Integrated: It is important that your cameras integrate into your fleet management software. You should be able to easily view recordings of events recorded by your telematics system without having to search for recordings based on event times.

  ** Constantly rolling: Your cameras should be recording all drive time enabling the AI engine to continually learn and report on dangerous and positive driver behavior.

  ** Event Recording: The ability to automatically save the footage for all recorded driver events including, harsh braking, acceleration, and cornering. Recordings should be instantly available for all events or for specific time frames.

  ** Connectivity: Fully integrated cameras should have 4G connectivity for real-time visibility.

  ** HD Video: High-definition video at a high frame rate (30fps or greater) is important when it comes to reviewing footage of incidents. Footage with grain or blur is unhelpful and a high frame rate means you see more within the footage you’re presented.

  ** Night vision: Cameras that do not work in low-light environments limit use.

  ** Multiple configurations: Front- and driver-facing cameras may be important depending on your goals and a multi-camera system can provide a comprehensive view around the vehicle.

  ** In-cab alerts: Built-in speaker for automatic feedback and alerts to help drivers with training and driver coaching.

  ** Privacy Considerations: It is important that your camera solution is flexible enough to record the footage required for you to meet your objectives and nothing more, offering drivers the functionality to retain as much privacy as possible can significantly help with adoption

  

• What are the Benefits of a Successful Fleet Dash Cam Implementation?

  The benefits of successfully implementing integrated dash cams into your fleet management system include:

  ** Better visibility into on-road incidents - See how incidents unfold with real-time HD footage and use for situation training with your drivers.

  ** Improved driver safety - Identify and correct unsafe driving behaviors within your fleet, improving driver safety, reducing risk, and improving driver retention.

  ** Improved training, coaching and induction processes - you can make driver training more impactful with real life use cases and personalized programs built around an individual driver’s behavior.Reward drivers for safe driving habits and gain insight into tired drivers who may be better suited for a different shift.

  An AI fleet dash cam system offers in-cab feedback that stops dangerous driving behavior as it occurs and conditions drivers to be more cautious while on the road.

  Reduced costs - Save on fuel and maintenance costs with real-time driver coaching and alerts that correct the behaviors that lead to unnecessary wear and tear.

  Improved reputation - Maintain your brand’s image and reputation by correcting bad habits and incentivizing drivers to perform better on the road. An increased reputation also leads to more work won for the business.

  Lower insurance premiums - protect your business from not at fault claims and improve your claims history.

  Fleet dashboard cameras that are fully integrated into your fleet tracking system are vital to the performance and management of your fleet, but driver buy-in is key. Once you’ve picked the right system for your organization based on your specific goals, training and communication will help ensure success.

  

• Why Should We Buy Dashboard Cam?

  Dashboard cameras are becoming indispensable for commercial motor vehicle fleets and other businesses looking to preserve a good safety record, protect themselves against legal liability and lower insurance rates. When purchasing a dashboard camera, organizations need to compare products and systems to determine the solution that best meets their individual requirements.

  It’s a growing trend; the worldwide dashboard camera market was valued at $1.7 billion in 2017 and is expected to reach $2.5 billion by 2025. In addition to trucking fleets, dashboard cameras have seen wide adoption by driving instructors, law enforcement, taxi, and bus companies.

  Dashboard cameras offer added capability with the telematics technology in use by a wide range of industries.

  For commercial motor vehicle or equipment applications, a typical consumer dashcam is not a good solution, for many reasons – including limited data preservation, fewer features, and lack of compatibility with vehicle systems. Fleet managers and owner-operators can achieve better efficiency and significant cost savings by selecting a dashcam platform that is integrated with other functions that help them maintain productivity and safety – GPS tracking, driver monitoring, engine diagnostics and more.

  To choose a dashboard camera, purchasers should compare performance specifications, ease of use, features, and compatibility with the rest of their telematics and OEM vehicle technology. Features and specifications to look for include:

  ● Dashboard camera: resolution, contrast, unit size

  ● Memory: capture, automatic save, uploading

  ● Integration: compatibility with other hardware and software

  

• Why Dashboard Camera is Important for Fleet Management and How it Works?

  Dashboard Camera and Memory

  Tech site wire-cutter says that cameras should include a resolution of at least 1080 pixels. Other features to consider are the type of mounting hardware and reasonably compact exterior dimensions.

  Image resolution can make a difference in situations such as a traffic collision because a sharp video can show license plate numbers more legibly, as well as other data that may provide evidence in a potential legal dispute.

  Technical publication mentions image quality in night recording because nighttime images produced by some dashboard cameras are indistinct or too dark.

  Most dashboard cameras are set up to record continuously, activating automatically when the driver starts the vehicle’s engine. Almost every dashboard camera re-records or loops its data: when the memory card is full, the device overwrites the oldest files to make room for what it is recording.

  Data capture and uploading with dashboard cameras

  For preserving recorded video, basic consumer models include a push button on the unit that allows the driver to save the recorded footage. More advanced technology -- better adapted to the needs of commercial fleets and businesses -- can detect a sudden change in vehicle speed, a physical shock or abrupt stop and automatically save the segment of the video that began shortly before the incident and ended shortly after it.

  The automatic save feature activated by speed changes, severe acceleration or hard cornering or braking allows fleet managers to monitor driver behavior, and helps drivers improve their performance. This video is a useful addition to the overall telematics picture that vehicle fleets already use to support safe driving. 

  Another function to look for: automatic uploading. When the device detects a severe change in speed it uploads the video segment to a remote location. The data is immediately available. In an accident or other situation when the dashboard camera unit is not accessible, uploading provides a video record for review and analysis from anywhere.

  Dashboard camera integration

  A dashboard camera that operates as part of an integrated telematics solution offers a simplified but advanced system for helping fleet managers and drivers to stay legally compliant, protect against fraud or excessive accident claims, identify unsafe driving patterns and reward good driver performance.

  The ideal solution features a video recording combined with driving behavior data captured from vehicles and their operators to provide a clear visualization of driving incidents and road events.

  As part of the integrated telematics solution, video is a component used in creating a customized driver scorecard, a tool that measures and ranks fleet-wide driver performance. This scorecard can be used to evaluate performance -- and by highlighting areas for improvement, it may be used in creating effective driver training programs. Focused driver training can reduce risk and it supports an emphasis on safety throughout the organization.  

  Cameras and their ease of use

  An integrated dashboard camera and telematics solution provide in-depth reporting on driver and vehicle data from a single source, for easier review and analysis. Installation is simple and the device is easy to operate.

  A dashboard camera used as part of a telematics solution can help improve driver safety and productivity, decrease insurance premiums and vehicle maintenance costs, and protect against liability. 

  

• What is a AI dashboard camera? And how AI is taking things to a new level?

  Dashboard cameras are also known as dashcams and most of these cameras face forward, pointing out from behind the windshield so that the video image corresponds to the driver’s view. Other dashboard cameras face rearward, aimed at the inside of the vehicle and record driver activity. Fleet dashcams often link to fleet management software and provide businesses with real time access to recordings for driver behavior incidents including dangerous and distracted driving. The more advanced dashboard cameras utilize computer vision and AI that interprets video recordings providing deeper insight into driver behaviors including mobile phone use, eating and fatigue whilst driving.

  Table of contents

  1.What is an AI Dashcam?

  2.How does an AI dashboard camera work?

  3.How has AI moved dashboard cameras forward?

  4.How do businesses benefit from integrated AI cameras?

  What is an AI Dashcam？

  AI dash cams are advanced devices that analyze video footage in real-time to provide actionable insights that improve safety and reduce risk. The smart cameras can detect a wide range of incidents including distracted driving, drowsy driving and tailgating, automatically notifying the driver of dangerous behaviors and saving crucial footage without any need for driver intervention. These capabilities empower drivers to take corrective action to mitigate risk and for fleet operators to implement effective coaching programs.The driver behaviors that AI cameras can detect include:

  ● Speeding against posted speed signs

  ● Dangerous maneuvers including U-turn and Stop sign violations

  ● Distracted driving including mobile phone use and eating

  ● Drowsy driving

  ● Tailgating

  How does an AI dashboard camera work?

  Once the engine is turned on the dashcam system will begin recording until the engine is turned off. The AI processor uses computer vision to analyze the recordings and identify dangerous and positive driver behaviors that are based on the analysis of over 3 billion minutes of driving footage. When an event is identified the recording is stored in the cloud and recorded against the drivers record for review in driver coaching sessions. Many cameras including the Yunis Smart Dashcam also provide real-time in cab coaching.

  When integrated with fleet management applications users can view video footage alongside driver performance data, providing an extra dimension to driver behavior analysis and a single location to access fleet performance insight.

  How has AI moved dashboard cameras forward?

  The edge computing technology within AI cameras provides fleet managers with more driver behavior information than ever before. AI has turned dashboard cameras into proactive coaching tools that identify dangerous driving behaviors and create business insight that can help build a culture of safety. Real-time driver feedback is also enhanced by AI, giving drivers instant warnings when they take dangerous actions such as reading a text message or driving without a seat belt.

  

• How do businesses benefit from integrated AI cameras?

  Except the regular features like real-time data and monitoring, cost reduction, improved customer service and satisfaction, improved training, coaching and induction processes and improved driver safety when businesses integrate AI cameras with advanced features like ADAS (Advanced Driver Assistance Systems), DMS (Driver Monitoring Systems), and BSD (Blind Spot Detection) they unlock a wide range of benefits across various industries, especially those involved in transportation, logistics, and fleet management. Here’s how these technologies enhance business operations:

  1. Enhanced Safety and Risk Management:

  ADAS (Advanced Driver Assistance Systems):

  Collision Avoidance: AI cameras integrated with ADAS can detect potential obstacles, pedestrians, or other vehicles, providing real-time alerts and automatic braking to prevent accidents. This reduces the likelihood of accidents, lowering insurance premiums and improving the safety record of businesses.

  Lane Keeping & Adaptive Cruise Control: AI cameras can assist drivers in staying within their lanes and maintaining safe distances from other vehicles, increasing road safety, reducing human error, and improving efficiency in long-distance transport.

  DMS (Driver Monitoring Systems):

  Fatigue and Distraction Detection: DMS uses AI cameras to monitor drivers' behavior, detecting signs of drowsiness, distraction, or impaired driving. If the system detects unsafe driving behaviors (such as looking away from the road or falling asleep), it sends alerts to the driver or fleet manager, promoting safer driving.

  Improved Driver Health and Productivity: For businesses with fleets, monitoring driver well-being helps in reducing the likelihood of accidents, improving driver performance, and ensuring drivers are fit for duty. This can also lead to fewer work-related injuries and accidents.

  BSD (Blind Spot Detection):

  Increased Awareness: AI cameras integrated with BSD technology help drivers detect vehicles in their blind spots, reducing the risk of side-impact collisions, particularly in crowded traffic or during lane changes.

  Safer Fleet Operations: For businesses with large vehicle fleets, BSD systems improve safety during deliveries and on-the-road operations, reducing the chance of accidents and helping to maintain a safer work environment for drivers.

  2.Fleet Management Optimization:

  AI cameras with ADAS, DMS, and BSD technologies generate real-time data that fleet managers can use to monitor vehicle performance, driver behavior, and road safety. This allows for better decision-making, route optimization, and proactive maintenance scheduling.

  Driver Behavior Analytics: With DMS, fleet operators can track and analyze driver behavior patterns such as speeding, harsh braking, or unsafe lane changes. By identifying and addressing poor driving habits, businesses can improve the overall safety and efficiency of their fleet.

  Compliance with Safety Regulations: Many countries and industries require businesses to adhere to certain safety standards, especially for fleets. Integrated AI cameras with ADAS and DMS systems help businesses comply with regulations related to driver safety, reducing the risk of fines and legal issues.

  3. Enhanced Marketing and Branding:

  Businesses that adopt advanced technologies like AI cameras with ADAS, DMS,and BSD can position themselves as industry leaders committed to safety, innovation, and efficiency. This can be a powerful marketing tool that differentiates them from competitors.

  In conclusion, integrated AI cameras with ADAS, DMS and BSD provide significant benefits to businesses by improving safety, reducing costs, optimizing fleet management, enhancing customer satisfaction, and supporting regulatory compliance. These technologies are transforming industries such as logistics, transportation, and fleet management by making operations more efficient, secure, and data-driven.
• Yunis 's customers primarily utilize AI cameras for safety improvements and insurance cost reductions. The cameras help fleets reduce incident rates and insurance premiums by providing real-time feedback to drivers and analyzing driver behavior patterns. This proactive monitoring mitigates risk and contributes to a culture of safety and responsibility among drivers, especially when drivers may not even realize they've developed unsafe driving habits.

  Strategies for Maximizing AI Camera Benefits

  Any company integrating cameras into its fleets should implement a measured rollout strategy. It's also crucial to understand how to effectively use the collected data because data without action is just noise. It's important to set clear objectives for the data's use to ensure the technology is a cost-saving tool rather than an unnecessary expense. Properly implemented, AI cameras can provide a significant return on investment through improved safety and efficiency.

  Dash Cam Developments and Privacy Considerations

  AI cameras will become even more sophisticated, with enhanced capabilities to detect a broader range of incidents. This progression will likely include greater integration with other safety enhancing preventative measures and ensuring more comprehensive fleet safety.

  The dome camera is mounted inside the vehicle and is typically focused on the driver. This fleet camera allows the picture to stay smooth and clear with its anti-vibration features. Infrared sensors show what’s happening even in total darkness, and the fleet camera’s audio can be configured to capture clear audio inside the cab.

• The Future of AI Cameras?

  The future of camera development will likely involve refining AI capabilities to detect a broader range of incidents with greater accuracy. This includes integrating with other safety technologies to enhance incident prediction and prevention. Advanced biometric sensors that can detect driver stress, fatigue, and other conditions that could negatively affect driving abilities could also be included. Additionally, the future of AI cameras is poised to offer even more sophisticated analytics, driving continuous improvement in fleet safety practices.

  Addressing Privacy Concerns

  Driver privacy remains paramount, and it is necessary to involve drivers in the adoption process to ensure buy-in. Cameras must be used in alignment with clear policies on when footage is recorded and used to maintain transparency and trust with drivers. This careful consideration of privacy should adhere to regulatory standards and build a positive relationship between fleet operators and drivers.

• Current Usage of AI Camera?

  Yunis offers tailored AI Dash Cam solutions to meet the diverse needs of modern fleets. Each camera is designed to integrate seamlessly with fleet management systems, providing comprehensive monitoring and detailed analytics that enhance safety and decision-making. We have our own AI and algorithm team and offer AI featured Dashcam, AI featured MDVR, AI solutions and all AI related products.

  AI Dash Cams Available From Yunis 

  In-vehicle cameras are not a one-size-fits-all solution, and different vehicles and use cases may require different camera styles. Yunis offers a range of AI camera solutions tailored to diverse fleet needs:

  IQ Camera – Ideal solution for driver assistance, providing real-time feedback so you can protect your team on the road.

  Dual Smart Dashcam – Offers forward and driver coverage optimal for detailed behavioral analytic and driver coaching.

  Quad Smart Dashcam – Provides 360-degree coverage, ensuring comprehensive monitoring, perfect for complex fleet operations.

  ADAS Camera – ADAS (Advanced Driver Assistance System) cameras are a crucial component of modern vehicle safety systems featured by Lane Departure Warning, Lane Keeping Assist, Forward Collision Warning, Traffic Sign Recognition, Pedestrian Detection, Surround-View Monitoring etc.

  DMS Camera – DMS (Driver Monitoring System) camera is a camera system used in vehicles to monitor the driver's behavior and alertness in real time featured by Driver Attention Monitoring, Drowsiness Detection, Distraction Detection, Face and Eye Tracking, Head Position Monitoring, Personalized Monitoring etc.

  BSD Camera – BSD (Blind Spot Detection) camera is a type of camera used in vehicles to monitor the areas around the vehicle that are not visible to the driver, known as "blind spots" featured by Blind Spot Monitoring, Lane Change Assistance, Visual Indicators, Integration with Other ADAS Features etc. 

  These cameras work harmoniously with Yunis 's our platform, consolidating data across all devices and providing a comprehensive view of fleet operations. 

  Find the Right AI Dash Cam for Your Fleet

  AI cameras are becoming an essential element of modern fleet management, helping operators prioritize safety and efficiency. Combining detailed analytics with real-time feedback, Yunis 's AI cameras empower fleet managers to enhance operational safety and protect drivers on the road. If you’re looking at AI dash cams for your fleet check out our video telematics resource library where you can learn more about the technology and best practice or contact us to speak with our team of solution experts.