A car running on the road. (move)
AI is everywhere: in the news, in your car, on the device you’re reading this on. It also improves safety, productivity, and profitability for businesses around the world.
Companies in physical operations such as transportation, logistics, construction, oil and gas, retail, and distribution potentially have more to gain from AI than any other sector of the global economy. With much of the business being done far away from the home office or workplace, AI provides much-needed visibility. Leaders at these companies are managing billions in assets, including vehicles and equipment, becoming more accident-prone and grappling with a workforce that is now near record levels.
The grim statistics have been released due to an increase in dangerous behaviors such as distracted driving and speeding. national safety council It turns out that this is more than 44,000 people died There will be more traffic accidents in 2023 alone. The astronomical costs associated with each fatality often exceed $7 million, making the urgent need for alternative solutions more apparent than ever.
AI is answering the phone. His new category of AI, called computer vision, is giving business leaders a way to understand their operations like never before. Computer vision uses advanced algorithms combined with advanced cameras to interpret and understand visual information, such as videos and still images.
Applications of computer vision include detecting dangerous driving behaviors and road conditions. AI-powered systems such as dashcams can identify and track objects on the road or alert drivers to dangerous actions. It can also be incorporated into surveillance systems to monitor and detect anomalies in workplaces and public spaces, as well as medical image analysis to aid in disease diagnosis.
For road safety applications, computer vision can detect dangerous driving behaviors such as cell phone use, sudden braking, and close following, and alert drivers and managers in real time. These warnings allow drivers to immediately correct their behavior before it leads to a collision and alert managers that follow-up guidance may be required.
Still, applying AI is not a panacea. Accuracy is often the missing ingredient, especially in AI computer vision. If AI is not accurate, it can exacerbate safety risks and cause more harm than good. And when it comes to businesses that drive the physical economy, that potential harm can impact lives and livelihoods.
AI’s unrealized potential
motive Physical Economy Outlook Reportsurveyed 1,000 physics leaders across 11 industries and found that 69% of respondents recognized the potential for Al to positively impact their role. . They see this as a game-changer for the company. When asked where they think AI will bring the most value to their organization, respondents cited all of the following: Benefits of automation and better decision making to Improving worker safety.
With safety in mind, business leaders are frequently turning to AI-enabled cameras, including: dash cam Improve road safety and prevent accidents. 73% of survey respondents agreed that AI-enabled cameras/dash cams would make roads safer, and 64% said AI is essential to preventing accidents, guiding drivers, and saving lives. says.
Powered by accurate AI, dash cams detect dangerous driving behaviors like texting and running stop signs. Not only that, but AI dash cams provide real-time alerts to drivers and managers, allowing them to correct their behavior before it leads to a costly or fatal accident. But it all comes down to accuracy. What if the AI you’re using is alerting you to an event that never happened? Or worse, is it all gone? Important opportunities to prevent accidents and save lives are also missed.
Not all AI is the same: why accuracy matters
Accurate AI gives you a clear and reliable view of your business. For vehicle safety, we want to provide visibility into what’s happening on the road, so small problems such as a driver forgetting to fasten their seatbelt or the impact on fuel efficiency when accelerating suddenly can lead to a breakdown or catastrophic collision. You can deal with it before it becomes a big problem. Accurate detection with AI can mean the difference between preventing an accident and resolving a problem after it occurs.
Until recently, it was difficult for companies to assess the accuracy of an AI provider before deploying the solution across their business. Fortunately, research institutions are starting to benchmark. the study Empower businesses to choose providers that back up their claims. for example, Virginia Tech Transportation Institute and strategic analysis We show that Motive AI Dashcam is 3-4 times more successful than its competitors in alerting drivers and managers to risky driving behavior.
Still, more needs to be done. Companies should take an accuracy-first approach when vetting AI vendors. Otherwise, more lives will be lost and costs will continue to rise.
Major companies and organizations are seriously working on traffic safety. GM, honeywell, vision zero networkand the national safety council We have started working towards the goal of zero harm. Motive, a technology company building AI-powered solutions for commercial fleets, is following suit: Zero harm, zero preventable accidents On the roads of North America. “Road safety is personal to me. It is personal to each of our customers and employees. And it should be personal to everyone who shares our roads. ,” said Shoaib Makani, co-founder and CEO of Motive.
The path to a safer future
In a world where every second counts on the move and every decision can make a difference, prioritizing AI accuracy is more than just a business decision. It is a commitment to the well-being of drivers and the public. If you are a leader dedicated to pioneering safer roads and safer vehicles, now is the time to act. Challenge the status quo by testing potential AI solutions. Run head-to-head trials, dig into your data, and look for evidence of superior benchmarking. Don’t settle for promises, insist on proof. Your due diligence today could save lives on the roads tomorrow.
See how the Motive AI platform is leading the way in accuracy and reliability, setting new standards for driver safety and accident prevention.
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Author: Ryan Plutnicki
Ryan is Chief Customer Officer and has direct responsibility for Motive’s customer success, support, onboarding, and professional services teams. Prior to joining the company, he served as chief customer officer at Emburse, a provider of expense management and AP automation solutions. He has 20 years of experience building SAP and leading high-performing teams to profitable growth. He also boasts expertise in corporate card spend management and is adept at extending his operational excellence across global service centers. Ryan has served clients of all sizes, from small businesses to large corporations.
