What a rollout like this targets
If you are looking for the broader solution stack, start with manufacturing security solutions AI. This case study shows how one mid-size plant scope comes together; the solution page covers the full stack across cameras, access control, monitoring, OT integration, and AI analytics.
- Fewer after-hours access violations once restricted zones are monitored and badge-gated.
- Inventory loss on consumables and tooling caught by real-time alerts instead of a cold trail.
- Less supervisor time on OSHA inspection prep once compliance evidence lives in one system.
What a site like this looks like before
A single-building plant, 200-plus employees on two shifts, 80,000 sq ft of mixed production and warehouse, with a receiving dock, raw-material storage, two production lines, finished-goods staging, a shipping dock, and a small front office. A standard mid-size manufacturing footprint.
The existing security is often legacy analog CCTV from a previous integrator, partial coverage that skips the loading docks, an NVR in a back office nobody has logged into in months, and a punch-code keypad on the main entrance that's been bypassed for years. Cameras offline for months and former-employee credentials that still work are common findings. Usually the plant manager isn't asking for a new system. They're asking why tooling shrinkage keeps climbing and why OSHA prep eats supervisor time every cycle. Cameras come up because nothing else is generating evidence.
Four common problems. One stack.
A rollout like this typically pulls four problems out of the audit, in priority order:
- After-hours access to restricted zones. No camera coverage on the back hallway to chemical storage. No way to know who badged in at 2 AM.
- Inventory shrinkage without a paper trail. Tooling and consumables walked. The CCTV recorded, but manual review after a quarterly count took days, and the trail was cold.
- Outdated cameras with no real-time visibility. Two were offline. The rest fed an NVR nobody used. Footage was retrieved only after an incident.
- Manual OSHA-inspection prep. PPE, restricted-zone signage, lockout-tagout, and machine-guarding evidence lived in different binders. The supervisor pre-walk took two days.
One integrated stack addresses all four: a single VMS, single access platform, single dashboard for the plant manager.
What's on the wall after
Edge-AI cameras at every entry point and across the production floor, with motion classification that distinguishes a person from a forklift from raw stock movement. Role-based badge access on the restricted zones (chemical storage, server room, finished-goods cage, R&D bench), with credentials tied to HR onboarding and offboarding so a departing employee's badge dies the same day their email does. PPE detection on the production lines (hard hat and high-vis vest, glasses on the press line). Loading-dock LPR awareness on truck traffic. Remote viewing on the plant manager's phone and a desktop client for the ops director. Everything on one VMS, one alert console, one access database.
A good install keeps the existing camera cabling where it runs cleanly, replaces the cameras themselves, and runs new cable only to the doors that need a reader. A typical window is six weeks from signed scope to commissioned, with cabling and reader work scheduled nights and weekends to avoid hitting production.
Public benchmark for a site this size
Manufacturing or warehousing, 50,000-250,000 sq ft: $75K to $350K turnkey, all-in. Per-camera installed cost $1800-$3500. Source: SDM Magazine 2025 Industry Forecast Study.
Final number depends on camera count, cabling reuse, the number of doors that need new readers, and whether you want cloud-managed or on-prem video. The free consultation produces a real bracket before procurement gets involved.