Enterprise Industrial AI · Pilot Ready

The Intelligence Layer for Industry 4.0

Turn your factory's existing cameras into an AI-powered system that can see, understand, predict, and respond to industrial risk.

Explore the Platform
Edge AI Predictive Safety Quality Intelligence Compliance Automation
Camera 07 · Logistics Intersection · Live Stream
60 FPS · 8.4ms Inference
Potential Collision Risk
Intersection 4-B: 2.4s
Micro-Defect Detected
Loom #9 Fiber Tear (99.1%)
Anomaly Detected
Bearing Vibration 1.48 mm/s
The Challenge

Factories Have Eyes. They Need Intelligence.

Industrial environments generate petabytes of visual data every day through CCTV cameras. Yet traditional systems remain passive recording devices—incapable of predicting hazard sequences or assisting human operators before incidents occur.

01 / REACTION

Reactive Monitoring

Traditional CCTV records what happened after the accident. It lacks temporal comprehension to analyze sequential behaviors before a collision occurs.

02 / BOTTLENECKS

Manual Quality Control

Human visual inspection introduces fatigue, high cycle variance, and inconsistent defect classification across high-speed assembly and textile manufacturing lines.

03 / FRICTION

Compliance Overhead

Safety incidents trigger days of forensic tape review, manual paperwork, and complex regulatory reporting across ISO and OSHA compliance frameworks.

Traditional Industrial Monitoring

Fragmented legacy workflow relying on human post-incident review:

CCTV Camera
DVR Storage
Incident
Paperwork
IndustriX AI Intelligence Layer

Proactive edge intelligence executing sub-second autonomous intervention:

AI Camera
Understanding
Prediction
Intervention
Core Philosophy

From Recording Events to Predicting Them

The platform analyzes sequences of events—not just individual frames—to understand how people, machines, products, and environments interact over time.

SEE
UNDERSTAND
PREDICT
ACT
LEARN
"Don't just monitor your factory. Understand it."
Temporal deep learning for physical production environments
Architecture

One Intelligence Layer. Your Existing Infrastructure.

No expensive camera replacements or proprietary sensor retrofits. Veridex ingests standard RTSP streams from your current IP cameras, processing critical spatial inference locally at the plant edge.

01 / INGESTION

Existing Infrastructure

Standard IP Cameras (RTSP/ONVIF), PLC controllers, SCADA feeds, and legacy sensors.

Zero New Hardware
02 / PERCEPTION

Edge AI Inference

Real-time object tracking, spatial pose estimation, and bounding detection.

Local Edge Compute
03 / TEMPORAL

Temporal Intelligence

Sequence modeling analyzing multi-second trajectory vectors over time.

Sequence Analysis
04 / REASONING

Risk & Anomaly Engine

Continuous multi-dimensional evaluation across Safety, Quality, and Machines.

Policy Engine
05 / RESPONSE

Action Layer

Direct industrial IoT relay commands, beacon triggers, and AMR throttle dampening.

PLC / Relay Interlock
06 / PLATFORM

Intelligence Platform

Enterprise command dashboard, automated forensic clips, and ISO/OSHA audit logs.

Audit & RAG Logs

No New Visual Hardware Required

Integrates natively with existing network streams from Hikvision, Axis, Hanwha, Dahua, and industrial GigE cameras without factory downtime.

Critical Intelligence at the Edge

High-hazard proximity decisions execute locally on industrial edge appliances (e.g. NVIDIA Jetson/IGX). Zero reliance on cloud connectivity for worker safety.

Platform Pillars

One Factory. Four Dimensions of Intelligence.

A unified computer vision and temporal reasoning platform that consolidates disconnected plant functions into a single operational brain.

Dimension 01

Safety Intelligence

Prevent incidents before they happen.
  • PPE Adherence Verification
  • Helmet, Vest & Goggle Check
  • Worker-Machine Proximity
  • Restricted-Zone Intrusion
  • Ergonomic Hazard Detection
  • Predictive Collision Risk
  • Safety Event Monitoring
Dimension 02

Quality Intelligence

Find defects before they become losses.
  • Micro-Defect Detection
  • Textile Tear Detection
  • Assembly-Error Detection
  • Visual Quality Inspection
  • Production Anomaly Detection
  • Continuous Inspection
  • Inline Defect Rejection
Dimension 03

Operational Intelligence

Understand how your factory actually operates.
  • Workflow Analytics
  • Time-at-Station Analysis
  • Bottleneck Identification
  • Process Monitoring
  • Machine Condition Monitoring
  • Production-Flow Intelligence
  • Throughput Analytics
Dimension 04

Compliance Intelligence

Turn industrial events into actionable compliance intelligence.
  • Automated Incident Evidence
  • Event Documentation
  • Regulatory Mapping
  • Compliance-Oriented Reports
  • ISO / OSHA References
  • Corrective-Action Intelligence
  • Audit Package Export
Differentiator

Don't Just Detect. Predict.

Our temporal intelligence analyzes sequences of events to identify emerging hazards rather than relying only on isolated image detection.

T - 0 Seconds (Now): Critical Collision Risk

Potential Collision Trajectory

Predicted Severity
Critical (0.94)
T - 10s
Normal

Worker and forklift in independent corridors. Trajectory vectors non-intersecting.

T - 5s
Risk Increasing

Temporal model identifies convergence towards blind intersection.

NOW
High-Risk Trajectory

Collision horizon computed at 2.4s. Blind corner obstructs direct line-of-sight.

NEXT
Potential Collision

Without intervention, collision occurs. With Veridex, automated brake signal is deployed.

Predicted (T-2.4s)
Alert Dispatched (T-2.1s)
Intervention Executed (T-1.8s)
Worker & Forklift Path

Worker trajectory intersecting a forklift's path behind blind structural columns.

Spill + Foot Traffic

Floor liquid slick anomaly combined with increasing pedestrian traffic heading toward it.

Restricted Zone Entry

Worker entering an automated machinery zone while robotic equipment is active.

Machine Behavior

Visual motor vibration indicating possible bearing wear or mechanical overheating.

Edge Processing

Critical Intelligence at the Edge

Industrial safety cannot depend entirely on an internet connection. Critical perception and response can happen locally, close to the camera and machine.

CAMERA
Existing IP Network Stream
EDGE AI DEVICE
Sub-12ms Local Processing
AI DECISION
Real-Time Risk Computation
↙ Local Machine / Alert (Low-Latency)
↘ Cloud Sync (Aggregated Analytics)

Low Latency

Real-time event processing with deterministic sub-12ms response ensures automated safety interlocks fire before dangerous contacts occur.

Local Intelligence

Critical inference happens at the edge. Visual data is analyzed locally within your plant perimeter, keeping internal operations secure.

Resilient Operations

Safety-critical workflows continue seamlessly without relying entirely on internet connectivity or external cloud services.

Compliance & RAG

From Incident to Evidence to Compliance

An integrated RAG + LLM layer connects industrial events with relevant compliance documentation, citing specific ISO and OSHA clauses to generate structured reports.

EVENT AI DETECTION EVIDENCE REGULATION REPORT
EVENT
Unauthorized entry into robotic zone
EVIDENCE
Camera 07 · 14:32:18 · Production Floor B
RISK LEVEL
High
DOCUMENTATION
Verified video clip archived · Audit ID #VRX-8491
REGULATORY CONTEXT

Relevant safety requirement identified: Operator entered active robot cell boundary without safety interlock release.

ISO 10218-2 §5.3.8 (Industrial Robot Safeguarding) OSHA 1910.212(a)(1) (Machine Guarding)
RECOMMENDED ACTION

Corrective action required: Perform interlock functional test. Schedule safety review for Shift 2 operators.

Command Center

One Command Center for the Entire Plant

A mission-control system for a smart factory. Provides live multi-camera feeds, risk heatmaps, production metrics, event timelines, and compliance tracking.

System Operational
· Plant 04 (Advanced Manufacturing Center)
SAFETY
3 Active Risks
Forklift proximity, PPE violation, Restricted zone
QUALITY
7 Defects Detected
Bottle cap seal, Label alignment, Surface anomaly
OPERATIONS
2 Bottlenecks
Infeed Line A, Station 11 Inflow
MACHINES
1 Anomaly
Articulated Arm #4 Gripper Cycle
COMPLIANCE
2 Open Actions
Incident review, Corrective action pending
1080p · Edge Feed
Camera 07 · Logistics Yard & Bay 2 Staging
LIVE 1080p · 60 FPS 14:32:18 UTC
Pallet Staging · Zone 2-A (98.7%)
Forklift FLT-02 · Speed 6km/h (99.2%)
Live Event Stream Real-Time
14:32:18 OSHA 1910.178
Forklift / Pedestrian Convergence
Camera 07 · Blind Intersection 4-B PREEMPTED
14:30:45 ISO 13934-1
Micro-Tear Defect Detected (0.8mm)
Camera 12 · Textile Loom 9 FLAGGED
14:28:10 Cycle Monitor
Station Cycle Time Delay (48s)
Camera 01 · Station 04 Buffer NOTIFIED
14:24:02 ISO 10218-2
Restricted Cell Boundary Approached
Camera 02 · Robotic Cell C LATCHED
14:20:15 OSHA 1926.100
PPE Verification: Vest & Helmet Passed
Camera 05 · Shift Entry Gate 3 VERIFIED
32 Active Camera Streams Edge Compute Load: 41% Tamper-Proof Audit Synchronized
Veridex Industrial OS v4.2
Case Study

A Factory That Can See Risk Before It Becomes an Incident

Examining how temporal prediction prevents serious collisions at blind warehouse intersections.

01

Worker Enters Intersection

Worker enters an intersection at normal pace. Direct line-of-sight is obstructed by pallet racking.

02

Forklift Approaches Blind Spot

Forklift approaches from a blind spot at 2.4 m/s in the perpendicular lane.

03

AI Analyzes Trajectories

AI analyzes their trajectories over time. Risk increases as convergence vectors indicate collision in 2.4s.

04

Alert Generated & Industrial Response

Alert is generated. Where integrated, the system initiates an appropriate response through IoT controls and beacon flashes.

05

Compliance Intelligence Documentation

The event is documented. Compliance intelligence associates the incident with relevant safety requirements (OSHA 1910.178).

Core Principle

"The goal isn't to record the accident. It's to prevent it."

Recording an accident provides zero operational value to the injured worker or the manufacturer. Proactive AI intelligence acts in the critical moments before impact.

Industries

Built for the Industrial World

The architecture is designed to be adaptable across textiles, automotive manufacturing, and heavy logistics.

TEXTILE MANUFACTURING

Textile Manufacturing

Safety · Defect Detection · Workflow Intelligence

Continuous real-time inspection across weaving and knitting looms. Instantly flags fabric tears, warp tension faults, oil stains, and worker hand proximity to high-speed machinery.

Spinning, Weaving & Dyeing
AUTOMOTIVE MANUFACTURING

Automotive Manufacturing

Assembly · Robotics · Worker Safety

Robotic cell perimeter surveillance, high-speed assembly verification, component placement checks, and ergonomic risk tracking on continuous production lines.

Body Shops & Assembly Lines
HEAVY LOGISTICS

Heavy Logistics

Forklift Safety · Restricted Zones · Operational Intelligence

Spatial intelligence across high-bay storage facilities. Prevents blind-corner forklift and pedestrian collisions, monitors rack stability, and identifies transit bottlenecks.

Distribution & Cross-Dock Hubs
Technology

Built at the Intersection of AI & Industry

A technical stack designed to be robust, understandable, and trusted by enterprise decision-makers.

COMPUTER VISION

YOLO-based Object Detection

High-accuracy spatial object recognition, worker keypoint tracking, and equipment bounding reticles optimized for edge execution.

TEMPORAL AI

Transformer Sequence Analysis

Temporal models analyzing multi-second sequences of events to predict interactions rather than evaluating single frames in isolation.

EDGE AI

Industrial Edge Computing

Low-latency inference running locally on ruggedized hardware close to cameras and machines, ensuring real-time responsiveness.

INDUSTRIAL IoT

Machine & Relay Integration

Standard industrial protocols (OPC-UA, Modbus, dry contact relays) to trigger factory beacons, alarms, and emergency slowdowns.

GENERATIVE AI

LLM + RAG Compliance

Domain-specific retrieval models mapping industrial events directly to ISO and OSHA clauses for automated audit reporting.

ANALYTICS

Industrial Intelligence

Real-time dashboards, station cycle metrics, spatial hazard heatmaps, and executive reporting across multi-facility operations.

The Evolution

The Factory of Tomorrow Doesn't Just Monitor Itself.

It Understands Itself.

Our long-term vision is an AI workforce distributed across the industrial environment—continuously observing safety, quality, machines, processes, and compliance.

Today

Traditional Factory

  • Cameras (Passive Recording)
  • Manual Inspection
  • Periodic Audits
  • Reactive Response
AI-Enabled Factory

Veridex Intelligence

  • Computer Vision
  • Predictive Intelligence
  • Continuous Monitoring
  • Automated Evidence
Future

Autonomous Operations

  • Predictive Safety
  • Autonomous Intervention
  • Continuous Compliance
  • Intelligent Operations
Vision

A Safer. Smarter. More Compliant Industrial World.

"A world where every factory floor is continuously understood by AI—not simply recorded by cameras."

Transforming existing industrial infrastructure into proactive intelligence for a new generation of Industry 4.0.

Enterprise Consultation

Ready to Make Your Factory Intelligent?

Turn your existing industrial infrastructure into a predictive AI layer for safety, quality, operations, and compliance.

AI Industrial Intelligence · Safety · Quality · Operations · Compliance