Turn Existing CCTV Cameras Into Intelligent Business Analytics Systems. Depctor AI is an edge-powered AI video analytics and face recognition platform that transforms existing infrastructure into a real-time intelligent monitoring system.
Most businesses already have CCTV cameras installed across stores, factories, hospitals, warehouses, offices, and parking areas. Yet almost all surveillance systems remain passive and reactive — footage is reviewed only after an incident occurs.
Depctor AI changes that.
Unlike cloud-only surveillance platforms, Depctor AI performs AI inference directly on-site using compact edge devices powered by Raspberry Pi 5 and Hailo AI acceleration hardware. Video stays on-premise, bandwidth usage remains minimal, and businesses maintain complete control over privacy and compliance.
Whether you operate retail stores, manufacturing plants, hospitals, gyms, restaurants, parking facilities, warehouses, educational campuses, or enterprise offices, Depctor AI enables you to extract actionable operational intelligence from the cameras you already own.
Depctor AI supports RTSP and ONVIF-compatible IP cameras from leading manufacturers including Hikvision, Dahua, CP Plus, Axis, Bosch, Samsung, Uniview, and many others. There is no need to replace existing CCTV infrastructure, dramatically reducing deployment cost.
No continuous video upload to the cloud. Processes video locally on the edge device. Only lightweight metadata such as counts, timestamps, alerts, and analytics are synchronized to the cloud dashboard. This improves privacy, reduces bandwidth usage, and ensures continuous operation.
Supports advanced AI object detection using optimized YOLO models accelerated by Hailo hardware. Detects persons, cars, trucks, forklifts, and safety equipment. Each object receives a persistent ID for accurate movement tracking, entry/exit logging, and dwell analysis.
Advanced face recognition optimized for retail analytics, visitor intelligence, and employee exclusion. Features a proprietary anti-split identity engine that keeps repeat visitors tied to the same identity across visits and cameras, improving footfall accuracy.
Existing CCTV cameras stream RTSP video feeds to the Depctor edge device over the local network.
The edge device performs object detection, multi-object tracking, face detection, face recognition, zone analytics, and alert generation locally.
Only lightweight analytics data syncs securely to the centralized cloud dashboard. Administrators can monitor multiple branches, visitor analytics, occupancy statistics, and historical reports.
Depctor AI accurately measures unique visitors, repeat visitors, current occupancy, entry and exit trends, hourly traffic patterns, and peak operating hours.
Retail chains use these insights to optimize staffing, store layouts, and operational planning.
Define custom zones within each camera frame. Depctor AI calculates how long people remain within entrance zones, billing counters, product aisles, or parking bays.
Enables operational optimization and customer behavior analysis.
Staff members can be enrolled into the platform. Once enrolled, employees are automatically excluded from customer footfall metrics.
This creates significantly more accurate analytics.
Measure whether staff members greet or interact with customers within configurable time windows.
Improve customer service standards, measure staff responsiveness, and reduce disengagement.
Every analytics record is directly connected to corresponding video clips. Managers can instantly review the associated footage.
Simplifies incident review, security investigations, and compliance auditing.
Manage all branches from a centralized dashboard with role-based access, branch-level permissions, and organization-wide analytics.
Built for enterprise security with HTTPS/TLS encryption and WireGuard VPN connectivity.
