COMPUTER VISION
AI-Powered
Computer Vision
Turning existing infrastructure into
intelligent insights.
Our Computer Vision solutions use Al to understand people, objects and activities captured through existing camera infrastructure.
We focus on practical detection, monitoring and analytics that can support education and other operational environments.
WHAT WE DO
From Visual Data to Meaningful Insights
We build Al-powered solutions that detect, analyze and understand what's happening in your environment.
Object Detection
Identify people, objects and activities within a camera view.
People & Crowd Detection
Detect the number of people present and understand occupancy or crowding.
Attribute Detection
Identify visual attributes such as clothing colors or uniforms.
Activity & Event Detection
Detect events such as entry. exit, occupancy and other activities.
Detection → Identification
We start with understanding what is present in the scene and then move towards identifying who or what it is, when the right conditions and image quality are available.
OUR APPROACH
Detection
Understand what is present in the scene.
Person detection
Object detection
People counting
Crowd detection
Activity detection
→
Identification
Go beyond detection to understand who or what the detected subject is, when appropriate.
Face recognition (future scope)
Attribute recognition
Object classification
Classrooms
Monitor occupancy and classroom activity.
Campus Areas
Understand movement and crowd levels.
Entry & Exit
Monitor occupancy and classroom activity.
Uniform Detection
Monitor occupancy and classroom activity.
CCTV Analytics
Monitor occupancy and classroom activity.
Attendance & Operations
Monitor occupancy and classroom activity.
USE CASES
WHERE COMPUTER VISION CAN HELP
Real-World Applications
From classrooms to campus-wide operations.
Computer Vision can bring efficiency, safety and better insights to your environment.
Built for Existing Infrastructure
Our Computer Vision platform can work with existing camera infrastructure and process video using Al models designed for detection and analysis.
OUR RESEARCH DIRECTION
Computer Vision is an evolving area of our engineering research.
We are exploring and experimenting with:
On-Premise Processing
Al processing can be performed within the organization's infrastructure using dedicated GPU-enabled systems, helping keep video processing secure and within the organization's environment.
Object detection
Mercon detection
Image analysis
People counting
Attribute recognition
Activity detection
Obiect annotation
Computer Vision models
YoLe models
Al-based video analytics
Let's Build Intelligent Vision Solutions
Partner with us to tum your visual data into actionable insights.