Reactive Monitoring
Traditional CCTV records what happened after the accident. It lacks temporal comprehension to analyze sequential behaviors before a collision occurs.
Turn your factory's existing cameras into an AI-powered system that can see, understand, predict, and respond to industrial risk.
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.
Traditional CCTV records what happened after the accident. It lacks temporal comprehension to analyze sequential behaviors before a collision occurs.
Human visual inspection introduces fatigue, high cycle variance, and inconsistent defect classification across high-speed assembly and textile manufacturing lines.
Safety incidents trigger days of forensic tape review, manual paperwork, and complex regulatory reporting across ISO and OSHA compliance frameworks.
Fragmented legacy workflow relying on human post-incident review:
Proactive edge intelligence executing sub-second autonomous intervention:
The platform analyzes sequences of events—not just individual frames—to understand how people, machines, products, and environments interact over time.
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.
Standard IP Cameras (RTSP/ONVIF), PLC controllers, SCADA feeds, and legacy sensors.
Real-time object tracking, spatial pose estimation, and bounding detection.
Sequence modeling analyzing multi-second trajectory vectors over time.
Continuous multi-dimensional evaluation across Safety, Quality, and Machines.
Direct industrial IoT relay commands, beacon triggers, and AMR throttle dampening.
Enterprise command dashboard, automated forensic clips, and ISO/OSHA audit logs.
Integrates natively with existing network streams from Hikvision, Axis, Hanwha, Dahua, and industrial GigE cameras without factory downtime.
High-hazard proximity decisions execute locally on industrial edge appliances (e.g. NVIDIA Jetson/IGX). Zero reliance on cloud connectivity for worker safety.
A unified computer vision and temporal reasoning platform that consolidates disconnected plant functions into a single operational brain.
Our temporal intelligence analyzes sequences of events to identify emerging hazards rather than relying only on isolated image detection.
Worker and forklift in independent corridors. Trajectory vectors non-intersecting.
Temporal model identifies convergence towards blind intersection.
Collision horizon computed at 2.4s. Blind corner obstructs direct line-of-sight.
Without intervention, collision occurs. With Veridex, automated brake signal is deployed.
Worker trajectory intersecting a forklift's path behind blind structural columns.
Floor liquid slick anomaly combined with increasing pedestrian traffic heading toward it.
Worker entering an automated machinery zone while robotic equipment is active.
Visual motor vibration indicating possible bearing wear or mechanical overheating.
Industrial safety cannot depend entirely on an internet connection. Critical perception and response can happen locally, close to the camera and machine.
Real-time event processing with deterministic sub-12ms response ensures automated safety interlocks fire before dangerous contacts occur.
Critical inference happens at the edge. Visual data is analyzed locally within your plant perimeter, keeping internal operations secure.
Safety-critical workflows continue seamlessly without relying entirely on internet connectivity or external cloud services.
An integrated RAG + LLM layer connects industrial events with relevant compliance documentation, citing specific ISO and OSHA clauses to generate structured reports.
Relevant safety requirement identified: Operator entered active robot cell boundary without safety interlock release.
Corrective action required: Perform interlock functional test. Schedule safety review for Shift 2 operators.
A mission-control system for a smart factory. Provides live multi-camera feeds, risk heatmaps, production metrics, event timelines, and compliance tracking.
Examining how temporal prediction prevents serious collisions at blind warehouse intersections.
Worker enters an intersection at normal pace. Direct line-of-sight is obstructed by pallet racking.
Forklift approaches from a blind spot at 2.4 m/s in the perpendicular lane.
AI analyzes their trajectories over time. Risk increases as convergence vectors indicate collision in 2.4s.
Alert is generated. Where integrated, the system initiates an appropriate response through IoT controls and beacon flashes.
The event is documented. Compliance intelligence associates the incident with relevant safety requirements (OSHA 1910.178).
Recording an accident provides zero operational value to the injured worker or the manufacturer. Proactive AI intelligence acts in the critical moments before impact.
The architecture is designed to be adaptable across textiles, automotive manufacturing, and heavy logistics.
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.
Robotic cell perimeter surveillance, high-speed assembly verification, component placement checks, and ergonomic risk tracking on continuous production lines.
Spatial intelligence across high-bay storage facilities. Prevents blind-corner forklift and pedestrian collisions, monitors rack stability, and identifies transit bottlenecks.
A technical stack designed to be robust, understandable, and trusted by enterprise decision-makers.
High-accuracy spatial object recognition, worker keypoint tracking, and equipment bounding reticles optimized for edge execution.
Temporal models analyzing multi-second sequences of events to predict interactions rather than evaluating single frames in isolation.
Low-latency inference running locally on ruggedized hardware close to cameras and machines, ensuring real-time responsiveness.
Standard industrial protocols (OPC-UA, Modbus, dry contact relays) to trigger factory beacons, alarms, and emergency slowdowns.
Domain-specific retrieval models mapping industrial events directly to ISO and OSHA clauses for automated audit reporting.
Real-time dashboards, station cycle metrics, spatial hazard heatmaps, and executive reporting across multi-facility operations.
Our long-term vision is an AI workforce distributed across the industrial environment—continuously observing safety, quality, machines, processes, and compliance.
Turn your existing industrial infrastructure into a predictive AI layer for safety, quality, operations, and compliance.