Enhance safety with cameras that drivers and managers trust.
Accurate AI detection can mean the difference between preventing an accident and dealing with its aftermath. Capture critical safety incidents, eliminate false positives, and quickly identify opportunities to coach and reward.
KEY BENEFITS
- Prevent accidents by reducing risky driving.
- Save time by coaching actual safety incidents.
- Reduce insurance and accident costs.
Motive detects 15+ safety events with up to 99% accuracy.
We detect 97% of cell phone usage events with only 3% false positives.
We detect 99.5% of drowsiness events with only 0.5% false positives.
We detect 95% of forward collision warning events with only 5% false positives.
We detect 91% of unsafe lane change events with only 9% false positives.
We detect 98% of close following events with only 2% false positives.
We detect 90% of stop sign violation events with only 10% false positives.
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We detect 99% of distraction events with only 1% false positives.
We detect 96% of seat belt violation events with only 4% false positives.
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We detect 88% of obstructed camera events with only 12% false positives.
We detect 88% of obstructed camera events with only 12% false positives.
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Detect 99% of severe collisions within seconds.
Collision videos upload in seconds for review by our 400+ member Safety Team. They assess 100+ potential crashes per real incident, removing false positives and ensuring nothing is missed.
Managers get alerts with video and data, and during severe collisions, can connect directly to first responders for immediate help.
AI precision driven by unmatched investment.
Our investment in people, process, and pipelines makes our AI exceptionally accurate and hard to replicate.
01 Train AI models on high quality data.
With over 7 years of anonymized data from more than 1 million vehicles, we rigorously validate our models with real-world data to enhance unsafe driving detection. We also leverage generative AI to fill data gaps and accelerate deployment.
02 Eliminate false positives.
False positives happen when AI wrongly flags safe situations as risks. Our 400+ member Safety Team reviews safety videos and removes false positives, ensuring drivers aren’t unfairly penalized and managers can focus on real issues.
03 Capture real-world driving scenarios.
We achieve high accuracy by mastering common, uncommon, and rare, complex scenarios. Our Safety Team labels videos to capture these events, considering time-of-day, road type, and weather. This ensures reliable model performance in all conditions.
04 Launch new AI models & continue to iterate.
After evaluating AI performance in real-world conditions and gathering customer feedback, we roll out the highly accurate AI model to all customers. We then continuously collect data and rapidly refine the model with new insights.
Results speak for themselves
AI dash cam comparison: Motive, Samsara, and Lytx
Customers reduce safety events by over 90% within six months.
See for yourself—test your dash cam’s AI capabilities today.
GUIDE
How to conduct a dash cam trial.
Many vendors claim AI accuracy with no false positives, but the reality often falls short. Use this framework to evaluate providers side-by-side and find one that truly delivers.
webinar
5 steps to testing your AI dash cam accuracy.
The effectiveness of AI dash cams in preventing accidents hinges on their accuracy. Join our webinar to learn best practices for running a fair and controlled dash cam trial.
Benchmark report
Motive achieves highest alert rates for six unsafe behaviors.
A study by Virginia Tech Transportation Institute reveals the Motive AI Dashcam alerts drivers to unsafe behavior 3-4x more than Samsara and Lytx.
Frequently asked questions
How did you determine that Motive successfully alerts to unsafe behaviors 3-4x more than other solutions?
Virginia Tech Transportation Institute (VTTI) conducted a technical performance benchmark test of three different AI dash cams from Motive (DC-54), Lytx (DriveCam SF400) and Samsara (HW-CM32) over a three week period for in-cab alert success, in-cab + dashboard alert performance, and time to alert. The systems were tested in three placement locations and three times of day, with 5 replications per day, 5 per night, and 3 replications at twilight for a total of 39 tests per task. The series of tests were to gauge how well drivers were alerted when:
- Talking on the phone
- Lap texting
- Texting at a 45-degree angle
- Close following
- Rolling through stop signs
- Not wearing a seatbelt
All systems were researched by VTTI to identify the thresholds for successful task alerts for each of the selected six tasks. All trials included the same commercial driver (a trained VTTI researcher), and both the system location in the vehicle and weather conditions were controlled factors. Lytx was not evaluated for rolling through stop signs since VTTI was informed that alert had been deactivated by the system for all customers during the duration of the study.
How do I test the AI accuracy of my dash cam?
Setting up a side-by-side evaluation helps you verify your dash cam’s effectiveness, especially when these systems promise to enhance driver safety and save lives.
Download our 5-step guide to learn how to:
- Define success metrics and unsafe behaviors.
- Run a fair, controlled test.
- Analyze your results.
To run the test, simply have your driver(s) operate normally, collecting real-time feedback during regular business operations. This ensures an accurate assessment of the dash cam’s performance.
How does Motive use visual and motion data to detect unsafe behavior?
The Motive AI Dashcam uses AI computer vision to recognize and classify objects such as roads, pedestrians, vehicles, and stop lights. They also distinguish between the foreground and background, identifying drivable lanes. By combining visual data with motion data—such as vehicle speed, GPS, IMU data, and other telematics from the Motive Vehicle Gateway—they can fully interpret the scene. When unsafe behavior exceeds threshold limits, the dash cam triggers an in-cab alert to the driver. Event video is then uploaded to the dashboard, and managers receive alerts.
Can Motive’s AI work in low-light or nighttime conditions?
Yes, Motive’s AI performs well in low-light and nighttime conditions. Our models are trained on real-world scenarios, including twilight and nighttime driving, with HD cameras that capture clear footage through a wide field of view for accurate detection. In tests by the Virginia Tech Transportation Institute (VTTI), Motive consistently outperformed Lytx and Samsara in in-cab alert success across all lighting conditions.
How does Motive ensure the privacy of my drivers while collecting AI data?
Motive takes driver privacy seriously. All data used to train our AI models is anonymized to protect individual identities. We also provide customizable settings that allow safety managers to configure when safety events get captured. We maintain strict data security protocols to ensure that all information is stored and accessed in compliance with industry standards. This ensures that safety insights are provided while respecting driver privacy.
How can Motive’s AI Dashcams better protect my fleet?
Motive proactively protects your drivers and bottom line with AI Dashcams with HD footage for visibility into incident investigations and to exonerate drivers to prove innocence and defend against litigation. Our video clips default to 15 seconds, which our customers love as they can see what happens both before and after the event is captured. Along with clear video footage, we provide personalized, timely feedback to drivers on critical unsafe behaviors. We also enable safety managers to maintain a record of coaching activity. Our in-house safety team reviews every event to allow safety managers to prioritize which drivers need coaching the most.
CONNECT WITH US
Unlock the potential of your operations with Motive.
- Comply with industry rules and regulations.
- Improve visibility and automate operations.
- Identify risks and automate driver coaching.