Video Intelligence & Surveillance
Live feeds turned into events.
Specialist capabilities
Computer Vision Solutions
Hexmon builds computer vision systems for object detection, tracking, OCR, surveillance, inspection, monitoring, alerts, edge deployment, and visual intelligence.
Overview
Hexmon builds production-grade computer vision systems for detection, tracking, OCR, inspection, surveillance, monitoring, alerts, and real-time visual intelligence.
Hexmon designs, trains, and deploys computer vision systems built to run in the real world.
What we build
Object Detection & Tracking
Detect, classify, follow over time.
People & Vehicle Tracking
Movement, dwell, flow analytics.
OCR & Number Plate Recognition
Read text and plates in the wild.
Face Recognition & Biometrics
Identity with consent and audit.
Industrial Inspection
Defect, anomaly, and quality checks.
Safety Monitoring
PPE, zones, incidents, compliance.
Custom Vision Models
Trained on your domain data.
Edge Camera Analytics
On-device inference, low latency.
System architecture
Camera Feed
RTSP, ONVIF, USB, IP.
Edge / Server
GPU or accelerator runtime.
Vision Model
Detect, classify, track.
Detection Events
Structured, timestamped.
Alert Engine
Rules, thresholds, routing.
Dashboard
Live grid, search, replay.
Logs
Audit trail and evidence.
Reports
Trends, SLAs, KPIs.
Industries
Defense & Security
Manufacturing
Smart Cities
Traffic Systems
Retail Analytics
Logistics
Healthcare Imaging
Agriculture & Drones
Deployment options
Edge Devices
On-camera or gateway inference.
On-Prem Servers
Local GPUs, full control.
Private Cloud
Your VPC, your keys.
Hybrid
Edge capture, cloud intelligence.
Air-Gapped
No internet dependency.
How we deliver
Problem Definition
Objects, events, success criteria.
Data Collection
Cameras, angles, conditions.
Annotation
Labels, classes, edge cases.
Model Training
Architecture, tuning, evaluation.
Deployment
Edge or cloud rollout.
Dashboard
Operator UI and alerts.
Testing
Real-world validation.
Monitoring
Drift, accuracy, uptime.
Frequently asked questions
What makes a production-grade computer vision system?
A production-grade vision system includes reliable model accuracy, low-latency processing, camera integration, alerting, dashboards, monitoring, security, and deployment planning. It is not just a trained model.
Can these systems run in air-gapped environments?
Yes. Hexmon can design computer vision systems for private networks, on-prem servers, edge devices, and air-gapped environments where internet dependency is not acceptable.
How accurate are vision models in real-world conditions?
Accuracy depends on data quality, camera angles, lighting, object variation, and deployment conditions. Hexmon validates models against real-world samples and improves them through testing and iteration.
Do you support edge deployment?
Yes. Models can run on edge devices, local servers, camera-connected systems, or hybrid infrastructure depending on latency, privacy, and network requirements.
How is visual data secured?
Security can include access control, encryption, audit logs, private deployment, restricted storage, and role-based dashboards.
Can systems scale across many cameras?
Yes. Architecture can be designed for multiple cameras, sites, devices, alert channels, and monitoring teams.