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Fleet Manager’s Decision Making Capabilities Plays a Major Role in Enhancing your Fleet & Driver’s Safety

Managing fleet safety is a crucial task, an important responsibility as a lot depends upon it. With the number of vehicles increasing every day, the potential risk of road accidents as well as other safety hazards also tends to rise. In view of this, the role of the fleet managers ensuring the safety of their vehicles & drivers at all the times has become and will always be very vital. 

With more & more commercial vehicles and passengers falling prey to road accidents these days, it is vital to keep stringent driving and safety practices intact. Apart from the safety of your drivers & fleets, it is equally important to consider the safety of other vehicles and pedestrians on the road. Thus, this is where Fleet Safety Insights come into play. 

What are Fleet Safety Insights?  

In a nutshell, Fleet Safety Insights refer to the data driven insights that enable the fleet managers to make better decisions based on the actionable inputs they receive to improve and manage their drivers & fleets. 

The word ‘data insights’ might sound complex to you but it is the heart of technology as we know it. Fleet managers obtain these insights through various sources like driving behaviour, vehicle sensors, fleet GPS tracking as well as other external sources.

How drivebuddyAI assists Fleet Managers improve fleet & driver safety by using AI 

Artificial intelligence (AI) has the potential to revolutionize the way fleet managers make decisions and operate their fleet. By providing real-time data analysis and predictive capabilities, AI can help fleet managers make informed, data-driven decisions that can improve efficiency, reduce costs, and increase overall profitability.

To increase your fleet manager’s capabilities, giving them access to AI-powered technology is imperative. It will surely make their job easily manageable. Here is how drivebuddyAI’s ADAS (Advanced Driver Assistance System) makes the difference.

Advanced Driver Assistance Systems (ADAS) are becoming increasingly reliable because of their results in world of fleet management as a way to improve safety on the roads. drivebuddyAI’s ADAS cameras captures in-cabin videos, roadside videos and surroundings, providing valuable visual information that can help fleet managers make informed decisions about routing, safety, and other important factors. In addition, an ADAS camera also provides data on vehicle speed, braking, and other performance metrics that can help fleet managers optimize their operations.

Four significant ways through which drivebuddyAI ADAS improve your Fleet Manager’s decision making: 

Provide Real-Time Alerts & Notifications: Real-time alerts are one of the most effective ways of creating transparency between the fleet managers & the fleet drivers. drivebuddyAI gives fleet managers real-time alerts regarding potential risk to the safety on the road. These alerts include warnings for speeding, hard braking, sudden accelerations, signal breaks, lane departures and other hazardous driving behaviours. 

Enhance your Driver's Performance: driverbuddyAI ADAS deeply analyzes your driver’s driving behaviour and provides core insights on it. This includes data on the driving habits, fuel consumption and other key parameters like drowsiness detection, distraction alerts and phone usage alerts. This also allows the fleet managers to take driver coaching into consideration if required. 

Improve Fleet’s Route Planning: drivebuddyAI ADAS cameras collect real-time traffic data and other roadside data to help fleet drivers and managers to improvise their route planning. A major and primary impact of this is reducing fuel consumption, emission and other fleet operational costs. Improving your route planning also helps in collision avoidance and prevents unnecessary risks on the road. 

Optimisation of Vehicle Maintenance: Maintaining your fleet is equally important as a well-maintained vehicle ensures more safety. A fleet manager could use data analytics to determine the optimal time to perform maintenance on a vehicle based on its usage history and make data driven decisions for its future usage. This could also help in reducing costly downtime and to improve the overall efficiency of the fleet. 

Driver Drowsiness, Fatigue Detection System using ADAS Camera | driveBuddyAI

Know your driver in real-time: Optimize fleet ops, safety with drivebuddyAI

Fleet management is all about location tracking (GPS) and post-facto analysis…And drivebuddyAI (DBAI) is the preferred virtual driving artificial intelligence (AI)-powered solution across the world, that operates with high precision against distracted driving and improves driving performance.

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DriveBuddyAI is the best fleet safety management software system that helps you to improve your fleets performances. We help you grow your business, and accelerate the adoption of sustainability goals.

Are you Using a Dashcam for the Live Streaming of Video? DBAI Offers a Better Solution for Your E-commerce Logistics Fleet

Dash cams which are also known as dash cameras are an invaluable and highly effective safety tool for commercial fleets. There are a number of objectives that dashcams help fulfil but they are generally installed to provide increased visibility into the on-road safety of fleet vehicles. Fleet companies now use cameras to increase visibility across the fleet, for managing drivers and as a part of surveillance. Dashcam footage can also be used for driver coaching and in case of on-road accidents, to provide evidence for insurance purposes.

In addition to the facility to record video, several dashcams also offer a live-streaming feature. Live streaming allows users to view live video from the dashcam remotely and in real-time. A fleet manager could use his online dashboard to stream live footage from a dashcam installed on a fleet vehicle directly on his computer.

Practically going beyond just dashcams

The ability to refer to and analyze real-time data and make immediate changes to your fleet’s operation is key to business success. Modern fleet management necessitates the tracking of a large number of trucks and vehicles. With hundreds of trips, drivers, locations, varying fuel consumption, toll fees, insurance claims and service and maintenance records, this task quickly becomes overwhelming for fleet managers. There is very little scope for mistakes as they can have a cascading effect on the whole fleet.

In the recent past, fleet managers used basic GPS-based vehicle tracking devices that only provided location and speed information. A number of fleets have taken a step beyond just fleet GPS tracking, with the installation of dashcams (costing between Rs 2,000 - Rs 20,000) which act as digital video recorders that capture on-road video and in-cabin video for driver behaviour monitoring of a running vehicle. Though, do you really have the time to peruse hundreds of hours of videos?

Just imagine, you’re a fleet owner/manager and managing a fleet size of 500 vehicles. Do you really think, you’ll be able to look at video streams from 500 vehicles and take necessary actions for any driver/vehicle if required? Practically it’s not possible!

So what’s the better way?

This is where AI shows its efficacy. AI can watch, monitor and analyze in-vehicle videos in real-time and alert drivers for any risk conditions which avoids the need for monitoring for fleet managers and works as an assistant for the fleet managers as well. It also analyzes vehicle telematics data to provide fleet managers with a driver score that equips them with the knowledge of driving behaviour and patterns.

Revolutionize your fleet management with drivebuddyAI

drivebuddyAI’s AI-powered vehicle telematics platform and fleet management system allows businesses to not only see the right data when needed but also spot irregularities that would slip by human operators; to help fleets operate at their optimum potential. The system comes with features such as driver drowsiness detection systems, driver fatigue detection and collision warning systems.

drivebuddyAI’s ADAS camera comes with not only dashcam features but it’s also intelligent enough to instruct drivers to comply with specific pre-decided protocols. It ensures the safety of the driver, vehicle and high value critical goods enroute and alerts drivers in case of drowsiness, distractions, tailgating, collision warning. Along with that, it can also generate alerts for specific set of protocols like - no more than 6 hours of continuous driving for one driver, halting at every 2 hours during midnight driving etc - which can be risk mitigation practices followed globally by fleets. The drivebuddyAI platform then generates alerts & notifications in case any of the compliances are not being followed by the drivers and fleet managers can also take necessary actions. It technically reduces the effort of fleet managers for manually managing each driver, vehicle, compliance & safety all together which is a nearly impossible task for a human. Thus, drivebuddyAI offers much more - as an assistant - not only for drivers to ensure safety but also for fleet managers to ensure compliance by all drivers.

Conclusion

An Intelligent Driver and Fleet Safety Platform

Know Who's Driving - AI Facial Recognition with drivebuddyAI

drivebuddyAI is an intelligent driver and fleet safety platform, ADAS and fleet management system that aids drivers in avoiding collisions, aids fleet owners in assessing driver behaviour and provides insightful information that helps improve fleet safety.

ADAS operate using a diverse variety of vehicle tracking device technologies - cameras to radars and lidar systems - which can function both independently and in cooperation with other detection systems that contribute to the improvement in driving behaviour by helping notify about possible hazards on the road. This is achieved by either alerting the driver with a collision warning system or by actively taking over an element of vehicle control such as the brakes or steering wheel if the driver hasn’t reacted immediately. ADAS technologies have a crucial role to play in reducing the number of on-road vehicle accidents. As the technology has progressed, so has the safety of fleet vehicles with ADAS installed.

drivebuddyAI is one of the pioneering ADAS (Advanced Driver Assistance Systems) in India with the highest number of kilometres driven in the nation. With such a huge number of experience kilometres, drivebuddyAI’s system has been calibrated, augmented and programmed extensively to ensure optimum levels of safety and reliability.drivebuddyAI products make use of intelligent driver & fleet safety platforms for the automotive, fleet, logistics and insurance sectors globally. drivebuddyAI’s facial recognition technology can be utilised to confirm that your fleet vehicles are being driven by the designated fleet drivers and that they are recording their activities honestly.

Why driver face recognition is necessary

Face recognition technology is making its way into the latest generation of vehicles in an endeavour to increase safety and convenience. From vehicle ignition to the prevention of theft - there are innumerable applications of facial recognition technology in vehicles. The important applications of facial recognition systems in vehicles are:

ELD – Electronic Logging of drivers

Identifying driver at run time

Prevention of Accident in case of criticality

Driver-wise monitoring

Driver Analysis & Behaviour Analytics

Driver coaching on specific events

Post-coaching behaviour improvements

Managing a fleet of drivers can be strenuous and stressful work - you need to be aware of your drivers’ location at all times, know how long they’ve been driving and ensure that they’re safe on the roads.

This is where facial recognition showcases its strengths - not only do you have the ability to monitor where the driver’s attention is, but you can also make use of driver fatigue detection features to ensure vehicle safety. This driver drowsiness detection system can be utilized to make sure that a particular driver is awake, active and paying attention to the road. It also helps to identify and ratify who is driving just by the driver entering the vehicle - dispensing the need for check sheets or paperwork! When a facial recognition system is deeply embedded with other vehicle safety systems, it can lead to even better accident prevention features.

How does drivebuddyAI do facial recognition?

The device captures the video from both the sides and syncs it continuously to the cloud

drivebuddyAI has a mobile application called “OLI – Online Local Installer”, which is used at the time of commissioning of the product at customer’s vehicle and at the same time, the app takes the driver's face video sample for further recognition purposes

The video is then inferred by AI on the cloud to recognize the face with already registered samples at the time of first time installation

And then it is mapped on a trip basis for further analysis

The dual cameras register every millisecond level situation in driving and come with night vision features and augmented image capture capabilities which can operate in almost all lighting conditions. The device comes with an inbuilt GPU & CPU for the processing of the video feeds coming from the dual cameras. The processing happens on the cloud & device both and has been proven to be more than 95% accurate. The platform can support any number of drivers in the system.

Autonomy can be considered to be the future of mobility, telematics the present, and ADAS as the step towards the future.

Benefits of drivebuddyAI’s platform

Safety at all Times drivebuddyAI helps in identifying and addressing risky driving behaviour and helps prevent on-road incidents. The savings from increased Fleet Safety will reduce losses and increase your margins.

Productivity Increase 

drivebuddyAI makes it easier to understand driving patterns and driver behaviour which helps fleet managers identify both mistakes and good driving and coach drivers for better performance, thereby enhancing fleet safety and productivity.

Driver Discipline and Skill Enhancement

One of the most anticipated innovations in transportation is Advanced Driver Assistance System (ADAS) technology, and new capabilities to this technology are being continuously developed and introduced. This is a boon for fleets as they stand to benefit from the improved safety and efficiency of ADAS technology as part of their fleet management system.

ADAS operate using a wide range of technologies - from cameras to radars and lidar systems which can operate both independently and in conjunction with other systems that help to identify and avoid possible hazards. This is achieved by either warning the driver or proactively taking over an element of vehicle control such as braking or steering if the driver doesn’t react. ADAS have a key role to play in the reduction of the number of vehicle accidents on the road. As the technology has improved, so has the safety of fleet vehicles equipped with ADAS.

FACTS ON FLEET SAFETY:

Depending on the type of the goods, fleets have different risks which specifically can be categorized by

Fleets who have a need to improve their TAT (Turn around Time) for eg. Ecommerce fleets

Fleets who have a need to improve overall safety for eg. Hazmat fleets

Accidents are a major concern across the globe when it comes to long-haul driving.

Accident Timings and Causes: When a vehicle meets with an accident:

70% of the total accidents happen between midnight and early morning

90% of these accidents occur due to driver drowsiness & fatigue

The remaining 30% of accidents happen during the daytime

Major causes are:

Distractions

Phone usage

Not maintaining a safe distance from the front vehicles

Not every drowsy driver loses his life, but accidents are never planned and so being drowsy or inattentive while driving can cause serious damage to goods, lives etc. and can also impact business activities. Here are some pertinent stats that show what impact an accident can have:

Losses Due to On-road Accidents:

For fleet companies, if any of their vehicles meet with an accident, the impacts of this can include:

Damage to the vehicle – Repairable

Injuries to driver & co-driver or traveller/rider on the road

The first impact is immediate repair expenses. Even for a minor accident, it can cost up to 50K to 1L and for major accidents, it can go even higher

This causes the Insurance premiums to go up considering the fact that the risk profile of a fleet company goes up after even one accident.

Current premium rates for insurance applicable in India are:

Rs. 5,000 - Own Damage (OD)

Rs. 47,000 - Third Party (TP)

Additional Benefits Rs. 22-25,000 (Full Cover)

Considering the risk & claims made for insurance, the fleet company loses the advantage of the No Claim Bonus (NCB) for the next year’s premium cycle. These benefits usually range between 20% to 50%

Because the truck is off the road due to maintenance work, it will also incur business losses up to INR 6 Lacs during a month considering a truck on average carries out 5-7 long haul round trips (Approx 2,000 Kms per round trip) in a month

They might incur a penalty for damaged goods

It can have an adverse impact on business reputation

Benefits of having ADAS  

Increased safety leads to fewer, less severe accidents

Fewer, less severe accidents reduce the downtime of the vehicles

Improved safety reduces the risk of injuries to drivers

Insurance companies charge lower premiums for devices fitted with ADAS

Fewer claims can lead to discounts on the insurance premiums with a UBI structure

More business from the market considering the safety-conscious reputation

How ADAS has performed so far in reducing the accidents and risk

drivebuddyAI has engaged in significant data analysis of existing customer fleet companies to quantify the benefits of using its ADAS platform. The risk is observed to be reduced by 86% on an overall basis

The tendency of drivers to maintain a safe distance was increased by 56%

The tendency of drivers to engage in distraction-related activities or fatigue was reduced by 62%

The overall response to real-time alerts by drivers was observed to be 65%

Conclusion