Apar Drishti — Vision AI
A two-page pamphlet on Apar Drishti, Aparsoft's vision AI for the cameras a site already has. Page 1 shows what it does on the ground. Page 2 covers drones, radar, store cameras and our open-source app. It is 12+ working prototypes, built to your site, running on your own servers with no cloud.
12+ working prototypes, built to your site · Your cameras, the ones you have, no new hardware · Your servers, no cloud, footage never leaves your premises
Page 1 — It Sees. It Explains. It Alerts.
- It sees: fire and smoke, people, vehicles, helmets and vests, on every feed at once
- It explains: a note in plain words saying what it saw, how serious it is and what to do
- It alerts: on screen, on WhatsApp, to your own system, or as a siren on site
Answers from footage, not only alerts:
- ShiftIQ: who was where, and for how long. A timeline per worker number, per zone (real screen, simulated site)
- CrowdIQ: every alert kept, with its pictures and the AI's note (real screen)
- Site safety: helmet and vest, on every worker (illustration)
How a project starts: bring us a clip from one of your cameras → see it work on your own footage → built to your site (your cameras, zones and rules) → live on-prem, with alerts going to your team.
Page 2 — In the Sky, in the Store, in the Open
- Sentinel Sky · Drone: any drone, on the map. It reads the position newer drones send inside the video and the numbers older drones burn onto the picture. Pick any pixel to get its place on the map, checked against the drone's own record. Working prototype, public test footage.
- Sentinel Sky · Radar: through cloud and dark. It finds ships, aircraft, vehicles, bridges and harbours. It was trained on the largest public radar benchmark, checked on images it never saw, and runs on one GPU, fully on-premises, with no internet. Working prototype, public benchmark imagery.
- StoreIQ: store cameras into answers. It counts shoppers in and out, flags a queue at the counter and keeps staff out of the count. No face recognition. Working prototype.
- YOLO Vision Studio: our free app, in the open. Open source, 400+ GitHub stars, built on Ultralytics YOLO. Every object keeps its ID, and it counts after five frames. github.com/aparsoft/yolo-streamlit-detection-tracking
The First Questions a Site Head Asks
| Question | Answer |
|---|---|
| Do we need new cameras? | No. It works with the cameras you already have (RTSP or USB). |
| Does our footage go to the cloud? | No. Everything runs on your own servers. |
| Is it a finished product? | 12+ working prototypes. We build the one you need to your site. |
| Does it know who people are? | No. Only Face Access does, for entry that people agree to. |
Every Drishti project is built to the site and quoted per project. [email protected] · +91 89040 64878 · aparsoft.com/products/apar-drishti. Aparsoft Private Limited is a DPIIT-recognised, Bengaluru-based AI startup. Founder: IAF Veteran · AI research at CAIR-DRDO.