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Motive Introduces Integrated Hardware, AI Tools at Vision 26

by | May 27, 2026

New vehicle cameras, dashcam functions and workflow automation tools process road-risk, compliance and field data

NASHVILLE, TN, May 27, 2026 – Motive introduced new AI vehicle hardware and driver-support functions at Vision 26. The functions give fleet and physical operations teams real-time vehicle visibility, road-risk detection and in-device communication tools for commercial drivers.

The company presented the releases as part of a broader update to its operations technology stack. The new capabilities bring vehicle, driver and workflow data into a single view, while AI functions handle selected workflow actions that otherwise require manual work.

“Every operations leader we talk to describes a common set of problems – their systems are too fragmented, and their workflows are too manual. The answer is integration and automation,” said Shoaib Makani, CEO and co-founder of Motive. “Motive has spent years breaking down the data silos. Now we’re helping our customers leverage AI to surface critical insights and automate interventions so they can run safer and more productive operations.”

“Motive has transformed how we protect our drivers and operate our business,” said Jason Ramsey, North American land transportation manager at Halliburton. “By turning real-time insights into immediate action, the platform helps us improve safety, reduce manual workload, and drive better performance every day. We no longer just see risk – we stop it before it leads to loss. With real-time intervention and automation, we’re preventing collisions, eliminating hours of manual work, and keeping operations running at peak efficiency.”

“Motive isn’t just applying AI, it is generating the proprietary data that powers it,” said Adhish Luitel, research director, ABI Research. “By combining hardware, integrated data, and proprietary built AI models, Motive moves beyond insight to real-time action in a way many software platforms cannot. The combination of hardware and well-executed AI improves safety and delivers measurable ROI for its customers.”

AI Omnicam Plus: 360-Degree Vehicle Visibility

AI Omnicam Plus is Motive’s new camera system for 360-degree visibility around commercial vehicles. Built on the AI Dashcam Plus hardware architecture, the system uses the Qualcomm Dragonwing QCS6490 processor to run more than 30 AI models at the same time. The system processes camera data to detect road hazards with low latency. An in-cab monitor gives drivers a live view around the vehicle, while AI alerts identify risks involving pedestrians, cyclists and nearby vehicles.

AI Dashcam Plus: Expanded Driver-Support Functions

Motive also announced new capabilities for AI Dashcam Plus, its commercial vehicle dashcam that combines telematics and cameras in one device. The system detects unsafe driving behavior and issues driver alerts through the hardware.

New capabilities include: 

  • Collision Avoidance: Two road-facing lenses and a Qualcomm AI processor track car, bikes, people and animals. The system predicts movement and alerts drivers when someone cross the vehicle’s path.
  • Automated License Plate Recognition (ALPR): A 1440p zoom lens with a narrow field of view captures license plates while a vehicle is in motion. The function supports investigations involving hit-and-runs, road rage, theft and other incidents.
  • AI-Powered Speed Sign Detection: Computer vision reads roadside speed limit signs in real time. The system alerts drivers only when vehicle speed exceeds the detected limit, reducing false alerts and supporting driver coaching.
  • Live Two-Way Calling: Drivers and managers can communicate hands-free through the device. Managers can contact drivers about fatigue, severe weather or operational updates, while drivers can respond without using mobile phones.

Atlas: AI Assistant for Operations Data

Atlas is Motive’s new AI assistant for asking questions, analyzing data and taking action in one place. Powered by Motive AI, it surfaces information from across Motive systems so users can check vehicle health, review safety events and resolve compliance issues without searching across separate tools or static reports.

Through Motive’s new Model Context Protocol (MCP) integration, Atlas can also operate outside the Motive Dashboard in third-party AI tools such as Claude and ChatGPT. The integration connects Motive data with internal and third-party data sources for tasks such as benchmarking insurance rates and generating data-backed renegotiation proposals.

Atlas also works in the cab through Motive Voice Assistant. Drivers can use commands such as “Hey Motive, call dispatch” or “Hey Motive, record video” to contact managers, capture information and stay connected without using a mobile phone.

Automations: AI-Triggered Workflow Actions

Motive also introduced Automations, which trigger actions based on real-time signals. The system can respond to time-sensitive issues, including a critical vehicle fault code, by contacting the driver and instructing them to pull over before a manager manually reviews the issue.

Managers can apply Automations across safety, maintenance and operations for tasks that require fast response or continuous monitoring.

With a few clicks, managers can:

  • Detect excessive idling and prompt drivers to shut off the engine.
  • Flag hours-of-service and compliance risks before they become violations.
  • Trigger Atlas to contact drivers when fatigue or critical fault codes are detected.
  • Assign and push a Motive Card to a new driver’s digital wallet so the driver can begin work on day one.

AI Vision: Computer Vision for Field Data

Motive’s AI Vision uses computer vision to automate field documentation tasks. The system processes video to identify and log operational data in real time, reducing manual reporting by drivers and field workers.

The technology applies to use cases such as public sector infrastructure monitoring and construction site safety. It converts visual inputs into structured data that operations teams can use for issue tracking, service verification and response workflows.

For waste services, AI Vision includes specialized models for overage detection, recycling contamination detection and service verification. Overage detection identifies overfilled waste containers at the point of service, helping organizations verify completed work, bill for violations and adjust customer bin sizes without manual driver entry.

Source: Motive

About Motive

Motive is a fleet management technology company founded in 2013 and headquartered in San Francisco, CA. The company provides software and hardware that help safety, operations and finance teams manage workers, vehicles, equipment and fleet-related spending in one system. Its products include telematics devices, AI-enabled dashcams, mobile applications and compliance reporting tools. Motive supports vehicle tracking, driver safety monitoring, regulatory compliance and maintenance management. The platform gives fleet operators visibility into vehicle location, equipment use and operating costs. Motive serves nearly 100,000 customers, ranging from small businesses to Fortune 500 companies such as Halliburton, KONE, Komatsu, NBC Universal and Maersk. Its markets include transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, waste services and the public sector.