What a production floor looks like to Fogsphere
Video slot — awaiting upload.
Manufacturing — Safety, Security and Operations Intelligence AI
Turn every camera on the plant floor into an always-on visual intelligence network that reads safety, production flow, quality, human–machine interaction and material movement — edge-first and GDPR-ready.
Built for manufacturing compliance — ISO 45001 and GDPR
ISO 45001
Occupational health and safety management. PPE compliance by zone, machine-zone intrusions, guard violations, near-miss counts and ergonomic-risk events, captured continuously instead of by periodic study.
GDPR
Privacy-by-default video workflows: edge-only processing, face blurring, anonymised analytics and configurable retention. Labour-union-proof monitoring of operators, contractors and visitors.
What deploying Fogsphere across a manufacturing site delivers
Reference deployment across a manufacturing site, reported against ISO 45001 occupational health and safety management.
Operators, machines and vehicles on the same floor
PPE — hard hats, glasses, face shields, gloves, hearing and respiratory protection, footwear, hi-vis, protective and welding clothing
Zone-specific PPE combinations, judged against what the area visually requires
Falls, slips and trips, unsafe climbing, ladder misuse and work-at-height violations
Unsafe manual handling and posture, mobile-phone use, smoking and running
Worker-down and lone-worker monitoring; restricted-area entry
Unsafe lifting, excessive bending, twisting, overreaching and repetitive movement
Poor workstation posture, improper load handling and unsafe push/pull activity
Harness and lanyard detection where visible; unprotected edges, unsafe ladder use, scaffold access and guardrail violations
Workers beneath elevated activity; materials and tools near edges
Walkways blocked by materials, pallets or loose cables; blocked emergency exits, extinguishers and machine access
Spills, wet floors, waste and empty-container accumulation; workstation clutter and tools out of place
Guards missing, open, removed or bypassed
Workers entering machine envelopes; hands or body in hazardous areas
Pinch-point, crushing-zone and rotating-machinery exposure; unsafe conveyor interaction
Unsafe jam-clearing, unauthorised machine interaction and workers remaining inside equipment before restart
Robot-cell intrusion, human–robot proximity, barrier crossing and safety-door state — a monitoring and assurance layer, not a certified safety controller
Forklift, AGV and AMR conflicts with pedestrians; crane exclusion zones and personnel beneath suspended loads
Visual near-miss intelligence measured per area, shift, line, type and time period
Perimeter, cells and evacuation routes
Perimeter intrusion, fence crossing, loitering, tailgating and after-hours activity
Unattended objects, camera tampering, door and gate status
Unauthorised cell access and restricted-zone entry, repeated over time
Smoke, flame and smouldering material detection
Battery and welding-area thermal risk via thermal cameras
Evacuation flow, exit usage, blocked routes and muster-point occupancy
Emergency-stop obstruction and unsafe access through barriers
Unauthorised vehicles in the yard, vehicle classification and LPR where applicable
Response confirmation and accountability — who moved where, and when
Bottlenecks located, not just detected
Line running or visually stopped; product flow and accumulation
Conveyor congestion, empty conveyor, starved and blocked production areas
Queue build-up, WIP accumulation and station occupancy
Operator intervention frequency and duration; idle workstations
Growing queues between stations, conveyor backups and material accumulation
Empty downstream stations; worker and forklift congestion; long station dwell time
Product entry and exit timing, station cycle time and worker task duration
Loading, unloading, changeover and setup activity duration split into active work, waiting, tool delay, material delay, cleaning and adjustment
Expected operation sequence, missing steps and steps in the wrong order
Incorrect tool, work area or component placement; unsafe shortcuts and bypassed visual procedures
Missing, incorrect or wrongly oriented components; incomplete assembly and rework detection
Surface defects, colour and shape anomalies, label presence and position, packaging, closure and seal defects
Product and object counting, spacing, accumulation, jams, blockages and spillage
Forklift detection, tracking, utilisation and speed estimation; pallet counting, movement and dwell
Loading-bay and dock occupancy, truck and trailer presence, turnaround, queue length and blocked aisles
Pallet, bin, container and WIP tracking between cameras, without tagging every asset
Technician arrival, time to intervention, crew size, work and waiting duration, and visual completion
Leaks, oil and water pooling, steam, belt misalignment, open panels, missing covers, gauges and indicator lights
Five focus areas
The platform behind every detection
Edge+ AI Stack — runs on-prem at every site. CNN and VLM GPUs, MistIQ® physical AI workers, TPM® encryption, DeepStream engine and the Edge+ agent — all inside your perimeter.
Fogsphere Manager® Stack — fleet orchestration across all sites: Case Manager®, Insight Studio®, Person Manager®, Asset Manager® and Vision Agent®.
Core Services — vector DB engine, SQL DB engine, distributed storage controller and Kubernetes multi-node cluster, with central GPU pools — all in your datacentre or private cloud.
What the Fogsphere platform brings
Edge AI, GDPR-by-design, digital twins, real-time reports, asset management and more — all inside one platform, deployed on your perimeter.
Why manufacturers choose Fogsphere
Risk Mitigation — Continuous monitoring surfaces hazards as they appear, so major incidents are caught earlier and recur less often.
Regulatory Compliance — Objective, timestamped evidence against the HSE frameworks your auditors already use — reducing fines and legal exposure.
Workforce Morale & Retention — A site where hazards are logged and acted on consistently is a site people stay at.
Sustainability & CSR — Demonstrable commitment to staff wellbeing and environmental performance — evidenced, not asserted.
Insurance Premium Optimisation — An objective safety record gives underwriters something measurable to price against.
End-to-end GDPR-compliant — Edge-only processing, face blurring and configurable retention. Labour-union-proof, privacy-friendly monitoring.
Six application clusters that carry most of the load on a plant floor
Machine & Equipment Safety
Robot cells, press lines, guarding state and energy isolation.
PPE & Personal Compliance
Helmet, vest, gloves, eyewear, hearing and respiratory protection, checked per worker per zone.
Process & Quality Assurance
Line status, cycle time, bottlenecks and changeover verification.
Vehicle & Traffic Movement
Forklifts, trucks, speed, routing and pedestrian-vehicle conflict.
Worker Behaviour & Ergonomics
Climbing, handrail use, walkway violations and unsafe acts, surfaced as they happen.
Asset, Material & Inventory
Where equipment and material is, and whether it is being used.
Adjacent industry coverage
Logistics
Intralogistics, dock operations and yard movement share the same forklift, pallet and queue models.
Power Generation
Rotating equipment, guarding state, thermal anomalies and contractor outage work run the same detection stack.
Chemical
Process manufacturing adds containment, permit-to-work and hazardous-atmosphere layers on top of the same floor analytics.
Automotive
Robot cells, press lines, takt deviation and finished-goods yards run the same machine and flow analytics at OEM scale.
Food & Beverage
Filling, packing and palletising lines add hygiene zoning and cold chain on top of the same OEE detection layer.