EMBEDDED VISION AI · FOR TELEMATICS SERVICE PROVIDERS
Don't just record the road. Understand it.
Trusted by leaders across the mobility value chain
Because context matters
Detection sees a car. Context sees the risk.
A bounding box cannot tell you whether anything is about to go wrong. You need to understand behavior.
Every object in this frame is ordinary. At this distance, with this driver, they are not.
Objects only
There is a car ahead
A box and a label. Every camera on the market does this, and on its own it describes an unremarkable moment.
+ depth and motion
It is 1.9 seconds away, and closing
Depth and motion turn the same box into a shrinking gap. Still recoverable, if the driver is paying attention.
+ driver state
And the driver is on the phone
The cabin camera sees a phone call in progress and a hand off the wheel. Nothing outside the vehicle has changed. What it means has.
Warn the driver nowSame objects. Three different answers. Only the third is worth interrupting a driver for.*
Why modern fleets switch from legacy dashcams
Compare traditional cloud-dependent video systems with Peregrine’s edge-native intelligence.
Legacy Cloud Dashcams
- — Streams raw video continuously over cellular data (High SIM cost)
- — In-cab warnings arrive 3-5 seconds late due to cloud latency
- — High false-alarm fatigue triggers driver frustration
- — Privacy risks with unencrypted driver faces sent to server
Peregrine Edge Vision
- Processes <1% critical frames locally (95% bandwidth savings)
- Instant <85ms in-cab alerts prevent collisions before impact
- Multi-task contextual AI eliminates 90%+ of false positive alerts
- Automatic petabyte-scale face & plate blurring directly on device
Proven results for your fleets
Vision-based safety: on the road and in the cabin
Context-aware perception for the road ahead
- Collision avoidance: Tailgating, close-following, and Time-to-Collision (TTC) risks.
- Violation spotting: Red lights, stop signs, and priority regulations.
- Speed compliance: Real-time sign recognition vs. vehicle speed.
- Vulnerable road users: Pedestrians, cyclists, and exposed traffic.
Continuous in-cabin tracking built for the real world
- Distraction: Real-time monitoring for active phone use and head-turned distraction.
- Fatigue & drowsiness: Multi-layer behavioral context to identify driver fatigue accurately.
- Seatbelt compliance: Automatic seatbelt detection and safety policy enforcement.
- Instant coaching: Low-latency in-cab alerts processed locally without cloud delay.
Traffic context that explains why events happen
- Weather & surface: Rain, snow, fog, and slippery road surface detection.
- Traffic: Automatic classification of heavy traffic density and construction zones.
- Context aware: Differentiate necessary evasive maneuvers from aggressive driving.
- Bandwidth: Process 99% of data at the edge to cut cloud storage and cellular bills.
Flexible software architecture for your existing stack
- Open REST & Webhook APIs: Standard endpoints for events, metadata, video clips, and GPS traces
- Edge Anonymization: Automatic face and license plate blurring for full GDPR compliance
- On-Demand Live View: Access 24/7 video feeds on demand without continuous bandwidth burn
- OTA Updates: Deploy updated AI models remotely through your existing device management system.
Three ways to package our vision AI
Choose the plan that fits your current hardware, team resources, and data model.
Plain Edge
On-camera software
We deliver the AI models that run directly on your camera’s internal processor, integrating with your existing system.
- Road-facing ADAS
- Cabin-facing DMS
- On-device live stream
- Local configuration
Best for: TSPs who run their own data pipelines.
Edge + API
On-camera AI + cloud API
We provide on-device AI, host event database, and provide a secure API for you to retrieve video clips.
- Road-facing ADAS
- Cabin-facing DMS
- On-device live stream
- Local configuration
- Automated edge blurring
- Hosted event API
Best for: platforms who want API-ready events
Turnkey fleet stack
Full hardware + data
End-to-end vision stack. We handle camera software, cloud databases, and cellular connectivity.
- Road-facing ADAS
- Cabin-facing DMS
- On-device live stream
- Local configuration
- Automated edge blurring
- Hosted event API
- SIMs & global roaming
Best for: providers who want a zero-setup launch.
Unlock new revenue streams with real-time geolocation intelligence
Our advanced SLAM technology captures high-value geospatial data, turning every mile driven into actionable insights for monetization.
Ready to be integrated on most dashcams
Easy, plug and play API integration into your dashboard. Explore our current ready-to-ship integration ecosystem below.
Jimi JC261
Fast, versatile connected deployment with crash detection
MiTAC K220
High-volume edge efficiency for last-mile delivery
MiTAC K265
Premium multi-camera processing for long-haul
Peregrine One
Flexible APIs for custom, non-standard devices.
Android Automotive
Software-native integration built directly into next-gen OEM vehicles.
Smartphones
Instant mobile-app deployment for flexible BYOD fleet operations.
Peregrine Vision: AI for the real world, from edge to cloud.
At the heart of Peregrine Vision is artificial intelligence designed to transform cameras into smart perception systems. Combining advanced neural networks, edge processing, and adaptive learning, our proprietary AI models and data infrastructure deliver results you can trust.
Data privacy is our priority
Video data contains personal information such as faces and license plates. Peregrine’s technology automatically anonymizes information at the petabyte scale before storing traffic scenes. This differentiates our technology from common dashcams or other video solutions.
Frequently asked questions about Peregrine Vision
What types of data can Peregrine Vision capture beyond video?
Peregrine Vision captures more than just video footage. Our system collects geospatial metadata, vehicle dynamics, environmental context, and event-based triggers such as road conditions, traffic patterns, and asset locations. This multi-layered data is processed to deliver actionable insights for safety, compliance, and monetization.
Can Peregrine Vision operate in low-connectivity environments?
Yes. Peregrine Vision is optimized for edge processing, meaning critical data analysis happens locally on the device, minimizing reliance on constant connectivity. When the connection is restored, the system syncs seamlessly with the cloud to update insights without data loss.
Is Peregrine Vision compatible with both commercial and consumer-grade hardware?
Absolutely. Peregrine Vision is hardware-agnostic, designed to integrate with a wide range of devices—from aftermarket dashcams to OEM-grade systems. Our flexible API allows for seamless deployment across various hardware configurations.
How does Peregrine Vision handle edge-to-cloud data transfer efficiently?
Peregrine Vision uses advanced data compression and prioritization algorithms to reduce bandwidth usage. Only the most relevant insights are transmitted to the cloud, significantly cutting down on costs and latency while maintaining data integrity.
How scalable is Peregrine Vision for large fleets?
Peregrine Vision is designed for enterprise-grade scalability. Whether you’re managing hundreds or hundreds of thousands of vehicles, our infrastructure handles data processing, storage, and insights delivery with consistent performance.
Does Peregrine Vision require additional sensors beyond cameras?
While Peregrine Vision is optimized for camera data, it can also integrate with other vehicle sensors such as GPS, IMU (Inertial Measurement Units), and CAN bus data. In fact, in most instances, it can replace the need for a GPS altogether. This multimodal approach enhances accuracy in areas like localization, driver behavior analysis, and environmental detection.
How quickly can Peregrine Vision be deployed across a fleet?
Deployment timelines vary depending on fleet size and integration complexity. However, thanks to our plug-and-play API architecture and hardware flexibility, most telematics providers can achieve full deployment within a matter of weeks, not months.
How does Peregrine Vision support data monetization for telematics providers?
Beyond safety insights, Peregrine Vision enables telematics providers to monetize geospatial data through our Data-as-a-Service (DaaS) model. This includes localized road conditions, traffic patterns, and infrastructure insights that can be sold to industries like logistics, urban planning, and navigation services.
How customizable is Peregrine Vision for specific fleet requirements?
Peregrine Vision offers modular features that can be tailored to meet specific fleet or industry needs. Telematics providers can choose from a suite of AI models, adjust event thresholds, and customize reporting formats through our API.
Does Peregrine Vision support over-the-air (OTA) updates?
Yes. Peregrine Vision supports secure over-the-air updates for firmware, software, and AI model improvements. This ensures fleets always have access to the latest features, performance enhancements, and security patches without manual intervention.
Can Peregrine Vision detect non-vehicle-related assets like pedestrians or road infrastructure?
Yes. Peregrine Vision’s advanced computer vision algorithms detect and classify a wide range of objects, including pedestrians, cyclists, traffic signs, construction zones, and other roadside infrastructure—enhancing both safety and geospatial data accuracy.