OpenVector

Founded 2024

Connect live video feeds to vision-language models for automated actions

Pricing model

Demo

Rating

★ People love it

Time to value

Moderate Setup (1-3 hours)

You can use OpenVector to link live camera streams to vision-language models for physical operations. It processes visual feeds with latency as low as 50 milliseconds to understand real-world tasks. You can describe workflow rules in plain English, and the system turns visual observations into software actions. It tracks object movements, checks safety gear compliance, confirms robotic placements, and manages staging inventory. Teams can easily configure triggers, verify task completions, and route ambiguous video frames to human operators for review.

What OpenVector does

Connect live video streams to vision-language modelsGenerate automation rules using natural language descriptionsConfirm physical object placement from camera recordingsSend alert triggers to software systems when events occurFlag uncertain visual frames for manual operator reviewMonitor equipment inventory levels across physical baysReal-time video inference as low as 50 millisecondsNatural language workflow creation from text promptsLow-bandwidth vision-language model processing engineLive robotic arm and gripper placement confirmationAutomated routing of uncertain visual evidence to operatorsSupport for wrist cameras, fixed sensors, and voxel feeds