The Webfleet Video solution is a paid service upgrade that equips fleets with visual intelligence that not only sees the road but understands driving context. It detects hazards such as speeding, red light violations, adverse weather, slippery roads, and size or weight restrictions – bringing real-time environmental awareness to a vehicle segment that has historically lacked such embedded intelligence.

“This is a major step in our mission to make mobility safer and smarter,” said Jan-Maarten de Vries, President, Fleet Management Solutions at Bridgestone. “Together with Peregrine.ai, we’re delivering a next-generation driver safety solution that goes far beyond traditional dashcams – detecting and contextualizing road events and risks as they happen.”

By transforming visual data into real-time in-cabin alerts and actionable fleet insights, the system helps drivers avoid accidents and enables fleets to improve safety, compliance, and operational performance – all without investing in new vehicles.

“We’re proud to contribute our contextual AI technology to this collaboration,” added Dr. Steffen Heinrich, CEO of Peregrine.ai. “By making existing vehicles smarter with real-time insights, we’re helping fleets operate more safely and efficiently – at scale, and on the road today.”

This launch also reflects Bridgestone’s broader mission of serving society with superior quality. According to road safety economists¹, vehicle crashes cost up to 4.1% of European Gross Domestic Product (GDP). With this new service, Webfleet aims to help fleets reduce risk, support ESG goals, strengthen driver retention, and manage rising insurance and liability costs.

About Webfleet
   

Webfleet is Bridgestone’s globally trusted fleet management solution. More than 50,000 businesses across the world use it to improve fleet efficiency, support drivers, boost safety, stay compliant and work more sustainably. For more than 25 years it has been empowering fleet managers with data-driven insights that help them optimise their operations.   

Webfleet contributes towards the delivery of The Bridgestone E8 Commitment. This broad, global corporate commitment clearly defines the value Bridgestone is promising to deliver to society, customers and future generations in eight focus areas: Energy, Ecology, Efficiency, Extension, Economy, Emotion, Ease and Empowerment. These provide a compass to guide strategic priorities, decision making and actions throughout every area of the business.  

More information at: webfleet.com. Follow us on X: @WebfleetNews and LinkedIn @Webfleet. For more information on Bridgestone corporation visit Bridgestone.com or the Bridgestone Newsroom. 
 

About Peregrine.ai

Peregrine.ai is a Berlin-based AI company transforming cameras in cars into a network of intelligent, real-time sensors. Its unique Edge AI technology uses compact, efficient neural networks to process large volumes of data directly on devices – cutting costs, emissions, and reliance on centralized infrastructure.

Peregrine’s flagship video telematics product, Peregrine Vision, delivers instant, privacy-compliant insights in real-time. It powers critical applications like risk detection, driver behavior analysis, and event-based alerts – which contribute to the company’s vision for a safer mobility for all. Peregrine Vision is built for scale, designed for integration with partners, and ready for the future of connected mobility.

For more information on Peregrine Technologies GmbH visit peregrine.ai. Follow us on Linkedin: @Peregrine.ai.

1. Wijnen et al. (2019), An analysis of official road crash cost estimates in European countries, Safety Science (113), 318-327 ︎

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Landshut, Germany – [November 2024] – Peregrine.ai, a pioneering force in AI-powered vision solutions, has deployed its state-of-the-art 5-SAFE system to revolutionize traffic safety in school zones. Designed and developed in collaboration with T-Systems, Landshut University of Applied Science, and the City of Landshut, and backed by Germany’s 5G Initiative and the Federal Ministry for Digital and Transport (BMDV), this transformative project harnesses the power of AI and 5G to set a new benchmark in urban safety.

Smart, Adaptive, and Privacy-Centric Safety in Real-Time

At the core of 5-SAFE is Peregrine.ai’s sophisticated edge-based computer vision technology, meticulously engineered to identify and respond to critical safety risks in real time. Leveraging 5G-enabled sensors and dynamic, adaptive traffic signage, the system proactively monitors pedestrian and vehicular activity, triggering alerts only when genuine risks are detected. This dynamic response reduces driver desensitization to warnings, enhancing attention precisely when it’s needed most.

In a groundbreaking enhancement, 5-SAFE includes a 24/7 cyclist protection feature that alerts right-turning vehicles to approaching cyclists—a safety innovation that extends beyond traditional school hours to safeguard vulnerable road users around the clock.

“Our mission is to redefine urban safety standards through AI and edge computing,” said Philip Meier, Head of Project Delivery and Partnerships at Peregrine.ai. “With 5-SAFE, we’re pushing the boundaries of what’s possible in real-time safety, providing precision intelligence that’s adaptive, scalable, and inherently privacy-first.”

Engineered for Privacy and Agility

Peregrine.ai’s 5-SAFE system is designed with a relentless focus on privacy and hardware agility. Utilizing NVIDIA’s TensorRT for high-speed, on-edge processing, all data is anonymized directly within the camera, ensuring that no personal information is stored or transmitted offsite. This approach not only guarantees GDPR compliance but also removes latency issues, making 5-SAFE a lightning-fast, privacy-secure solution for modern urban environments.

The system’s hardware-agnostic architecture is another major innovation, allowing seamless integration across a range of platforms—from mobile dash cams to stationary infrastructure. This adaptability means that 5-SAFE can be deployed in diverse settings, from school zones to high-traffic intersections, without the need for costly infrastructure overhauls.

A Model of Cross-Sector Collaboration for the Future of Smart Cities

The success of 5-SAFE is a testament to the power of collaboration. T-Systems’ expertise in 5G infrastructure, combined with Peregrine.ai’s AI innovations and academic support from Landshut University, has created a model of forward-thinking public-private partnership. This project underscores the potential of cross-sector collaboration to drive impactful change in urban safety.

“This partnership exemplifies how technology and collaboration can elevate urban safety to new heights,” said a project team member. “Together, we’ve created a system that’s not only transformative for school zones but has the potential to redefine safety in smart cities worldwide.”

The Future of 5-SAFE: Expanding AI Safety Solutions Across Urban Landscapes

While 5-SAFE is tailored for school zones, Peregrine.ai envisions a broader role for this technology within smart cities. With its hardware-agnostic, edge-based design, 5-SAFE is primed for applications in urban traffic flow optimization, pedestrian safety enhancement, and intelligent response systems. This AI-powered platform is built to evolve, enabling cities to adapt to emerging safety challenges without compromising privacy or agility.

“5-SAFE is more than a school zone safety tool—it’s a strategic blueprint for the next generation of urban infrastructure,” added Philip. “As cities look to create safer, more adaptive environments, Peregrine.ai stands ready to lead with intelligent, privacy-focused solutions that redefine what’s possible.”

About Peregrine.ai

Headquartered in Berlin, Peregrine.ai is at the forefront of AI-driven vision technology, delivering sophisticated solutions that blend real-time intelligence with unmatched privacy standards. By integrating edge computing and hardware-agnostic design, Peregrine.ai is enabling cities and fleets to achieve transformative safety outcomes and set new standards for urban innovation.

For further information on Peregrine.ai and the 5-SAFE system, please visit peregrine.ai/labs or contact:

Project / Partnerships Contact:
Philip Meier
Head of Project Delivery & Partnerships
Peregrine.ai
philip@peregrine.ai

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Elevating Fleet Dashcams: The Next Generation of Commercial Fleet Management

Our advanced dashcam technology serves as the proactive eyes of commercial fleets, capturing detailed real-time video of the vehicle’s surroundings. These sophisticated cameras lay the groundwork for a system designed to significantly improve the safety of drivers, passengers, and pedestrians, while also providing fleet managers with the tools needed for effective fleet oversight.

Cutting-Edge Environmental Perception and Computer Vision

The cornerstone of our technology is its environmental perception, enabled by leading-edge computer vision algorithms. This allows our software to analyze dashcam footage, identifying and making sense of various driving scene elements. By equipping vehicles with the capability to accurately interpret their surroundings, we ensure unmatched real-time responsiveness, crucial for immediate risk assessment and decision-making.

IMU Data Fusion: Enhancing Accuracy at the Edge

Our integration of Inertial Measurement Units (IMUs) fine-tunes the environmental perception, providing detailed metrics on the vehicle’s movement through measurements of acceleration, rotation, and gravitational forces. This IMU data, combined with visual insights from the dashcams, processed at the edge, enhances our software’s ability to assess the vehicle’s behavior and interaction with its environment accurately.

AI-Driven Insights for Fleet Managers: Beyond Traditional Telematics

The standout feature of our solution is the cutting-edge environmental perception enabled at the edge of fleet dashcams, which significantly reduces false positive event detections and provides a permanent, real-time driving risk assessment. This advanced capability ensures that only genuine hazards and high-risk driving events trigger video recordings, enhancing the accuracy and relevance of the data provided to fleet managers. Rather than overwhelming operators with excessive information, our system smartly pinpoints critical incidents, streamlining the decision-making process. This focus on meaningful alerts, backed by the precision of our environmental perception technology, marks an advancement in managing and understanding fleet operations, ensuring that fleet managers are equipped with actionable insights to promote safer driving practices across their fleets.

Shaping Fleet Safety Technology with Advanced Driving Risk Assessment

Our solution goes beyond technology; it signals a new era of road safety. By equipping commercial fleets with the ability to understand and adapt to their surroundings, we enhance individual driver safety and elevate the safety standards of entire fleets. This advanced driving risk assessment tool gives fleet managers unparalleled insights, promoting safer driving practices and contributing to a significant reduction in accident rates.

In summary, our integration of fleet dashcams with state-of-the-art environmental perception, computer vision, and IMU data fusion—processed at the edge—marks a significant leap in fleet safety technology. Our system does more than just monitor; it comprehends the road, ensuring every journey is as secure as possible for all road users.

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Benefits for Telematics Service Providers

In the dynamic realm of Video Telematics, the integration of cloud-based Computer Vision solutions for fleet dashcams is a game-changer. This strategic combination is not just about technology; it’s about significantly reducing false positives and adding unparalleled value to the efficiency and reliability of fleet operations.

The foremost advantage lies in the precision of environmental perception. Cloud-based Computer Vision solutions for fleet dashcams can discern and interpret visual data with unprecedented accuracy. This sharpens the focus on real threats and crucial events, reducing the occurrence of false positives that can often plague traditional video telematics systems.

Cloud-based postprocessing plays a pivotal role in achieving this accuracy. By leveraging the immense processing power of the cloud, fleet dashcam videos undergo deep tech analysis, distinguishing between actual threats and benign events. This unparalleled decision-making capability minimizes false positives, ensuring that alerts and notifications for fleet managers are triggered only when genuine risks are identified.

Benefits for Fleet Operators

The impact on fleet management is profound. With reduced false positives, fleet operators can trust the alerts they receive, leading to quicker response times and more informed decision-making. This not only enhances overall safety but also streamlines operational efficiency by minimizing unnecessary interventions and disruptions.

Moreover, the cloud’s scalability ensures adaptability to varying workloads, optimizing the reduction of false positives without compromising system performance. Fleet dashcams, integrated with cloud-based solutions, become more responsive to nuanced driving scenarios, contributing to a safer and more reliable telematics ecosystem.

The financial implications are noteworthy as well. By minimizing false positives, the cost associated with unnecessary investigations, repairs, or maintenance can be significantly reduced. Fleet managers can allocate resources more effectively, focusing on genuine issues and proactive maintenance rather than reacting to false alarms.

In conclusion, the value added by cloud-based reduction of false positives for fleet dashcams with Computer Vision in Video Telematics is transformative. It goes beyond technology for the sake of innovation; it’s about creating a telematics ecosystem that enhances safety, optimizes operations, and delivers tangible economic benefits. As the synergy between cloud computing and Computer Vision continues to evolve, the future of Video Telematics promises not just advanced capabilities but a reliable and efficient solution that fleet operators can trust.

AI-powered Vision, for Smarter Cameras

As we explored the advantages of Peregrine.ai’s cutting-edge solutions in the realm of AI at the edge for camera devices, it’s essential to highlight the technology’s specific hardware requirements, notably a robust GPU for optimal performance. While we recognize the diverse range of well-established dashcams available, including reputable providers like Streamax, Lytx, Sensata, Teltonika, and Jimi, we can seamlessly integrate these devices with our EU-based cloud services to unlock a new dimension of fleet insights tailored to operators’ needs.

Our Computer Vision technology serves as a transformative layer, enhancing environmental perception, deciphering scene complexity, and fostering contextual awareness. This innovation allows us to filter through the amount of event videos generated by these dashcams, pinpointing those that truly contain relevant information for fleet operators. Furthermore, our commitment to GDPR compliance is unwavering, achieved through the application of anonymization algorithms. Faces and license plates are effectively blurred, ensuring data privacy and regulatory adherence.

We invite you to connect with us today and explore how Peregrine.ai can elevate event detection, optimizing the performance of your trusted dashcams in the market. Let’s engage in a conversation on tailoring solutions to meet the unique demands of your customers.

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Advantages of Video Telematics in Fleet Management

Enhanced Safety

Video telematics serves as a powerful tool for promoting driver safety. The recorded footage can be used to analyze driver behavior, identify risky practices, and provide targeted training to mitigate potential accidents. Real-time cabin alerts, triggered by object detection software, supports drivers in perceiving their environment and in taking actions to avoid incidents. These proactive approaches help reduce the frequency of collisions and enhance overall road safety.

Incident Investigation

In the event of an accident or dispute, video telematics becomes an invaluable asset. Accurate and time-stamped footage can be crucial in determining fault, streamlining the claims process, and protecting the fleet from fraudulent claims.

Operational Efficiency

By combining video footage with GPS and vehicle data, fleet managers gain valuable insights into routes, fuel efficiency, and overall operational performance. This information can be leveraged to optimize routes, reduce fuel consumption, and enhance overall fleet productivity.

Driver Training and Compliance

Video telematics allows for targeted driver training programs based on actual performance data. This personalized approach helps improve driver compliance with safety regulations and enhances their overall skills, contributing to a safer and more efficient fleet.

Concerns and Considerations

Privacy Concerns

The implementation of video telematics raises privacy considerations for drivers. Striking the right balance between monitoring for safety and respecting individual privacy is crucial. Establishing transparent communication and clear policies regarding data usage is essential to address these concerns.

Cost of Implementation

While the long-term benefits are significant, the initial cost of implementing video telematics systems can be a deterrent for some fleet operators. However, the potential savings from reduced accidents, improved fuel efficiency, and streamlined operations often outweigh the initial investment significantly.

Data Management Challenges

Managing and analyzing the vast amounts of data generated by video telematics systems can be a complex task. Fleet managers need robust systems and tools to efficiently process and derive actionable insights from the wealth of information collected.

The Role of AI at the Edge

AI at the edge holds immense promise in addressing concerns associated with video telematics. By leveraging artificial intelligence algorithms directly within the camera devices, privacy concerns can be mitigated through real-time video analysis. This edge computing approach allows for immediate identification of safety-related incidents without compromising individual privacy and by that, unlocks vision-based safety.

Moreover, AI at the edge streamlines data management by pre-processing information locally, reducing the burden on central systems. This not only enhances operational efficiency but also minimizes costs associated with data storage and transmission.

In conclusion, the integration of AI at the edge with video telematics heralds a new era for fleet management. As technology continues to advance, the seamless combination of video analytics and artificial intelligence at the edge promises to overcome existing challenges, making fleet operations safer, more efficient, and ultimately more sustainable.

AI-powered Vision, for Smarter Cameras

In the ever-evolving landscape of fleet management, Peregrine.ai stands out by bringing the transformative power of AI computing at the edge to life. This strategic choice not only aligns with our commitment to privacy but also amplifies the advantages of video telematics in real time.

Contextual Awareness for Vision-Based Safety

Our AI at the edge approach, rooted in contextual awareness, makes driving risk evaluation much more meaningful by adding real-time visual perception of traffic situations. This not only enhances safety measures but also empowers fleet managers with timely insights for proactive decision-making.

Data Storage and Bandwidth Optimization

Exemplified by Peregrine.ai, AI at the edge offers a game-changing advantage in data management. Edge processing minimizes latency, optimizes resource usage, and streamlines data transfer by conducting real-time analysis closer to the data source. This approach not only enhances operational efficiency but also addresses the challenges associated with centralized data processing, marking a significant step towards more agile and responsive fleet management solutions.

Privacy is Priority

Privacy is priority, and our dedication is reflected in our 100% GDPR-compliant approach to all video recordings. This ensures that the integration of video telematics into fleet management solutions is not just cutting-edge but also respectful of individual privacy rights.

Tailored Solutions

At Peregrine.ai, we recognize that every fleet is unique, and one size does not fit all. In line with this philosophy, we provide our customers with the freedom to tailor their video telematics solution according to their specific needs. Whether it’s implementing driver alerts, video triggers, or establishing a holistic driving behavior assessment, we offer a customizable framework, allowing our customers to shape their fleet management strategies in a way that best suits their operations. The power is in their hands to define and refine their fleet’s journey towards safety and efficiency.

In essence, Peregrine.ai’s integration of AI computing at the edge with video telematics not only propels fleet management into a new era with vision-based safety but also empowers our customers to actively participate in shaping a solution that aligns seamlessly with their unique operational requirements and priorities.

Outlook

During the next weeks, we will take you on a journey across many different features that are unlocked by processing AI at the edge. Stay tuned to read more about tailgating, stop sign violations, detection of vulnerable road users and many more…

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