Surveillance & AI Detection

Scarecrow Surveillance uses facial and behavioral AI to detect threats with YOLOv8, OpenCV, and TensorFlow.

Fleet & Cargo Security

Fleet safety ensured via GPS, RFID, Spider Bots with LiDAR, and smart seals by Scarecrow Surveillance.

Command & Control

Real-time monitoring through React dashboard, with backend powered by Firebase, Node.js, and PostgreSQL.

Cybersecurity Layer

Scarecrow Surveillance secures data using SentinelOne, Crowdstrike, and Zero Trust command access protocols.

Capital Technologies Defence & Surveillance

Capital Technologies has over seven years of experience in the IT industry and has recently introduced Scarecrow, an advanced surveillance and security model designed for high-risk environments. It features AI recognition, drone monitoring, smart tracking, and robotic patrol for critical operations.

Our solutions are built using cutting-edge technologies such as facial recognition, behavioural AI, autonomous drones, spider-bots, and smart seals — enabling real-time threat detection, rapid response, and complete situational awareness for high-security operations.

Learn about us

Scarecrow Surveillance

Scarecrow Surveillance is an advanced, multi-layered security system built to safeguard high-risk industrial, defence, and logistics infrastructures using AI, facial recognition, and autonomous threat detection.

It is developed by a defence-tech startup, it integrates drones, bots, tracking, and autonomous response tailored specifically for MSM Group and CSG needs.

Real-time human detection and monitoring

With crimes on the rise all around the world, video surveillance is becoming more important day by day. Due to the lack of human resources to monitor this increasing number of cameras manually, new computer vision algorithms to perform lower and higher level tasks are being developed. We have developed a new method incorporating the most acclaimed Histograms of Oriented Gradients.

The theory of Visual Saliency and the saliency prediction model Deep Multi-Level Network to detect human beings in video sequences. Furthermore, we implemented the k – Means algorithm to cluster the HOG feature vectors of the positively detected windows and determined the path followed by a person in the video.

We achieved a detection precision of 83.11% and a recall of 41.27% in a time as short as 23.0047 seconds

Smart Surveillance System with
AI-Powered Detection and Threat Response

Smart Surveillance Features

Scarecrow combines cutting-edge AI with autonomous systems to deliver intelligent, real-time security across critical environments. From advanced threat detection to drone tracking and robotic patrol, each feature is designed to protect assets, monitor behavior, and respond instantly—without human delay.

AI-Powered Threat Detection

Real-time monitoring using AI to detect suspicious behavior and unauthorized access.

Drone Surveillance and Tracking

Autonomous drones patrol and track movement, capturing visuals from hard-to-reach angles.

Spider-Bot Patrol Units

Small autonomous robots with sensors that detect motion, sound, and vibration in dark or enclosed spaces.

Behavioural AI Monitoring

Analyses staff behavior and access patterns to detect deviations or insider threats.

Autonomous Threat Response

System deploys deterrents like lights, sound blasts, smoke, or foam when threats are detected.

Convoy and Asset Protection

Monitors logistics vehicles with GPS, tamper sensors, and embedded spider-bots for full cargo security.