Motive expands fleet platform with AI hardware and automation tools
Motive announced new AI-powered cameras, an intelligent assistant and automated workflows at its Vision 26 summit on June 1. The updates address fragmented systems and manual processes that fleet operators struggle with daily.
The company introduced three major capabilities: AI Omnicam Plus for 360-degree vehicle visibility, Atlas as an AI assistant for data analysis, and Automations to trigger immediate responses to operational events.
New camera systems and driver alerts
AI Omnicam Plus provides drivers with a live, all-round view through an in-cab monitor. The system runs more than 30 AI models simultaneously to detect pedestrians, cyclists, vehicles and road hazards in real time.
Motive also upgraded AI Dashcam Plus with collision avoidance technology that predicts road user movements and warns drivers earlier. The system includes automated licence plate recognition for incident investigations and AI-powered speed sign detection that reads roadside limits in real time rather than relying on mapping databases alone.
A new two-way calling feature allows drivers to contact fleet managers hands-free through the device, reducing phone use while driving.
Atlas assistant and automated workflows
Atlas eliminates manual reporting across multiple systems. Fleet operators can instantly access information about vehicle health, safety events and compliance issues from a single interface.
The assistant integrates with third-party AI platforms including ChatGPT and Claude through Motive's Model Context Protocol. This allows organisations to combine fleet data with other business information to automate tasks like insurance benchmarking and strategic planning.
A voice version of Atlas lets drivers request assistance, record footage or contact dispatch without taking their hands off the wheel.
Automations trigger immediate actions based on real-time data-responding to vehicle fault codes, excessive idling, driver fatigue and compliance risks without waiting for human intervention. Motive said these workflows reduce response times and ensure critical actions happen when they matter most.
Computer vision for operations data
Motive expanded its AI Vision technology, which converts video footage into structured operational data. The system automatically identifies hazards, service issues and site conditions across logistics, construction, waste management and public infrastructure.
For waste operators, AI Vision detects overfilled containers, recycling contamination and verifies service completion. These tools help automate billing and identify revenue opportunities.
Wayne Dawkins, fleet manager at VAD Commercials Limited, said the platform shifted how his company safeguards drivers and manages fleets. "By integrating real-time detection with immediate action, we operate more safely, productively and profitably every single day," he said.
Fleet managers looking to reduce manual workloads should understand how AI Agents & Automation and AI for Management apply to their operations.
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