VisionOps
VisionOps is a multimodal AI application that turns first-person video into a structured, shareable field report.
Core trick
Samples keyframes across POV footage, runs object detection, and syncs timestamped Gemini narration with overlays during playback.
Description
VisionOps is a multimodal AI application that turns first-person video into a structured, shareable field report. Users upload a POV clip from smart glasses or a phone, and the app samples key moments across the full video, detects visible objects, generates timestamped Gemini narration, and assembles everything into a synchronized playback experience with overlays and a live event feed.
The product is useful because raw POV footage is hard to review, summarize, and share quickly. VisionOps makes that footage understandable by converting it into an AI-assisted replay that highlights what happened, when it happened, and what was visible in the scene. It also adds a share capsule layer so users can hand off the clip and recap into communication tools like Slack or WhatsApp, making the experience easier to consume for teammates, friends, or anyone who was not there.
README excerpt
# VisionOps **VisionOps** turns first-person video into a clear, shareable AI replay. Upload a POV clip from Ray-Ban Meta glasses or a phone, and the app transforms it into a synchronized viewing experience with: - computer vision object overlays - timestamped Gemini narration - a live event feed - share-ready recap actions for tools like Slack and WhatsApp ## What We Built VisionOps is a multimodal AI application for understanding POV video faster. Instead of making someone watch raw footage and guess what matters, the product extracts representative moments across the full clip, detects visible objects, generates AI narration for those moments, and packages everything into a structured playback experience. The result feels less like a normal video player and more like an **AI-assisted field report**. ## Why It’s Useful POV footage is powerful, but it is also messy. It is hard to skim, hard to summarize, and hard to share with people who were not there. VisionOps solves that by turning video into: - **understanding**: AI explains what is happening - **structure**: key moments are timestamped - **context**: visible objects are surfaced visually - **handoff**: the recap can move into messaging tools and team workflows This makes the product useful for: - smart-glasses capture - field ops - team walkthroughs - product demos - incident review - social or team sharing with AI context ## How It Works 1. The user uploads a POV video. 2. The backend samples moments acros