Every decision we make as fleet managers counts more than ever. With rising insurance costs and shrinking margins, Fleet Managers have long relied on vehicle cameras to provide evidence after an incident. But is that really enough?
The MANTIS and FleetNet America Partnership: A New Approach to Fleet Safety
MANTIS, in partnership with FleetNet America, is changing the game in fleet risk management. Together, they offer a comprehensive solution that goes beyond simple video recording. The MANTIS RECON platform provides AI-powered monitoring, real-time alerts, and actionable insights to help prevent accidents before they happen.
Recording accidents is a reactive approach. While video proof is important, it’s just one piece of the puzzle. To truly enhance fleet safety and profitability, we need to prevent accidents, not just record them. It’s time to move beyond basic video recording to a full fleet risk intelligence system.
The Framework: Prove, Prevent, and Protect
Prove: Establishing the Facts
When an incident occurs, the first question is always, “What happened?” Clear, reliable video evidence is essential for:
- Clearing innocent drivers: Video proof can protect your drivers from false accusations and safeguard your company’s reputation.
- Fighting false claims: Clear video can prevent costly payouts and legal fees from fake accidents and exaggerated claims.
- Speeding up inquiries: Video evidence provides the details needed to quickly resolve cases.
This forms the foundation of a modern fleet’s safety strategy. But real risk management doesn’t stop here.
Prevent: From Reaction to Prediction
Preventing accidents is the next step. MANTIS uses AI cameras and real-time data analysis to identify and mitigate risks before they cause problems. Imagine receiving alerts about:
- Driver distraction and fatigue: AI can detect when drivers are not paying attention and send alerts to both the driver and the Fleet Manager.
- Unsafe following distances: The system can identify drivers who are tailgating and alert them to maintain a safe distance.
- External hazards: Advanced systems can detect pedestrians and cyclists, providing crucial warnings in busy areas.
This proactive approach allows you to address issues immediately and coach drivers with real data, preventing accidents before they happen.
Protect: The Ultimate Goal
Combining the ability to prove what happened with the tools to prevent future incidents leads to the ultimate goal: protection.
- Protecting your people: Preventing accidents and clearing drivers of blame creates a safer work environment and shows your team that you support them.
- Protecting your assets: Fewer accidents mean less downtime for your vehicles, lower repair costs, and healthier profits. Monitoring can also provide insights into vehicle maintenance needs.
- Protecting your business: Each prevented incident is a claim avoided, a lawsuit averted, and a hit to your reputation dodged. This safety-first approach makes your company more resilient and attractive to insurers, often leading to more stable and lower premiums.
Making Intelligence Your Competitive Edge
The MANTIS ecosystem is built on this idea. Our integrated camera solutions, powered by the RECON platform, form a system to assess and manage fleet risk in real time. By combining comprehensive vehicle visibility with AI-driven driver assistance and robust fleet management tools, we provide the intelligence needed to make safer, smarter decisions.
Fleet Operators face a clear choice: stick with cameras that only record past events or adopt a system that helps create a safer future. It’s time to look beyond simple lenses and invest in a smart network that can back up your claims, prevent accidents, and protect what matters most.
MANTIS is part of FleetNet’s Connected Vehicle Solutions, delivering intelligent camera technology that empowers fleets with sharper insights, safer operations, and smarter decisions. By integrating advanced vision into the Connected Vehicle ecosystem, we’re helping power the next era of uptime and performance across our industry.
