Depctor runs on a dedicated edge device installed at your premises — not in a distant cloud. We support proven hardware platforms so you can match performance to camera count, module choice, and budget.
An edge device sits on your local network, analyses video in real time, stores clips and logs on-site, and sends only summary data to the Depctor dashboard. That means lower ongoing bandwidth, faster response times, and a privacy posture your security and compliance teams can stand behind.
A compact, cost-effective platform for single-site and lighter workloads. Ideal when you need a small footprint device that installs discreetly next to your network rack or back office.
Well suited to focused deployments with a modest number of cameras.
Adds dedicated AI acceleration to the Raspberry Pi platform for faster, more responsive object detection and face analytics — without moving processing off-site.
A popular choice for retail and security sites that need reliable real-time performance.
A higher-capacity edge platform for branches with more cameras, heavier analytics, or plans to scale up over time. Delivers strong on-device performance in a still-compact appliance form factor.
Recommended when camera count or processing load exceeds entry-level tiers.
Each edge appliance runs one primary AI module at a time — either AI Object Detection for surveillance and counting, or Face Recoz for people analytics. Your Futureai Tech Pvt Ltd team will help you choose the right module and hardware combination for each location.
Tell us how many cameras you have and what you want to measure — we will propose a practical hardware layout.
Get in touch