Gap Assessment
Continuous Compliance Monitoring on Existing Cameras

Pharma GMP Video Analytics

A plant's controls are verified during periodic QA rounds and formal inspections — but the behaviour those controls govern happens continuously, across every shift. The evidence an auditor asks for is usually assembled after the fact, from paper logs and memory of what a round happened to catch. Tentovision's GMP video analytics continuously monitors GMP-relevant behaviour and conditions on the cameras your plant already has, producing timestamped evidence as events happen rather than reconstructing them afterward. It supports your compliance programme — it does not certify compliance or replace QA. (Zones, rules & modules are confirmed for your facility during an assessment.)

Existing CCTVNo new classified-area hardware
ContinuousNot a periodic snapshot
SupportsDoesn't certify
Hero image — gowning-room entry, clinical and calm
(Zone monitored · event logged 06:42)
AI GMP video analytics monitoring gowning compliance at a pharmaceutical cleanroom entry, on an existing plant camera
Runs on Existing Plant CCTV
No New Hardware in Classified Areas
Timestamped Evidence Record
Supports QA — Doesn't Replace It
Honest About Scope
The Problem

Between Audits, Compliance Is a Snapshot, Not a Continuous State

A QA round samples a moment. Whoever is walking the floor, whenever they happen to walk it, sees what's happening at that instant — and the instant they're not there, nothing is being verified at all.

Rounds Are Periodic; Deviations Happen Between Them

A gowning shortcut, a door propped open, materials left on the floor — the behaviours GMP cares about most are exactly the ones a scheduled round is least likely to catch, because they're brief and situational rather than constant.

Paper Logs Are Hard to Reconstruct at Audit

When an inspector asks for evidence of a specific condition on a specific shift months ago, the answer often depends on whether someone wrote it down clearly at the time — and assembling that picture consumes senior QA time that could go to process improvement instead.

Behavioural Non-Compliance Leaves No Trace

Gowning shortcuts, eating or drinking in a production zone, an unlabelled container — none of these leave a record unless observed in the moment, and a plant running multiple shifts across multiple zones cannot have someone watching everywhere, continuously.

The Regulatory Floor in India Has Moved

Revised Schedule M requirements are now in active enforcement for pharmaceutical manufacturers, raising the baseline for documentation, infrastructure and continuous quality oversight that plants are expected to demonstrate.

Definition

What Is GMP Video Analytics?

GMP video analytics uses AI on a pharmaceutical plant's existing CCTV to continuously monitor GMP-relevant behaviours and conditions — gowning compliance, cleanroom and airlock integrity, housekeeping, and restricted-zone access — alerting in real time and building a timestamped evidence record that supports audit readiness.

The word that matters is "supports." Compliance is an outcome of a quality system, not of a camera. What this produces is continuous visibility and a documented record between formal checks — which is a genuinely useful input to a compliance programme, and specifically not a substitute for one.

On validation, precisely

This is not presented as a pre-validated GMP system. Where computerised-system validation is required, that remains a project run through your own QA/CSV function, using our technical documentation as a starting basis. Any characteristic referencing 21 CFR Part 11 is bounded to record format — timestamp, event, immutability — and is not a claim of full regulatory system conformance. We won't state a certification we haven't confirmed with you directly.

Not industrial PPE detection

PPE detection covers helmets, vests and safety boots on a factory floor, governed by industrial safety standards. Gowning compliance is a different concept — sterile-garment protocol at a cleanroom boundary, governed by GMP. Different equipment, different rules, different regulatory context.

The food-safety parallel

Our smart kitchen and food-safety monitoring bundle is the same approach applied to HACCP and FSSAI conditions in food environments. Same underlying method, different regulatory framework.

What It Monitors

The GMP Module Catalogue

Twelve conditions across four compliance areas. (Only conditions confirmed for your facility are active; availability and zone coverage are confirmed during an assessment.)

Gowning & Personnel Compliance

Distinct from industrial PPE detection
Gowning sequence observed
at cleanroom entry
AI monitoring gowning items and sequence at a cleanroom entry before personnel proceed into a classified zone

Gowning Items & Sequence

Monitors gowning items and sequence at cleanroom entry, flagging a lapse before someone proceeds into a classified zone rather than discovering it afterward. Sterile-garment protocol, not industrial safety gear.

Footwear change observed
at the step-over bench
AI monitoring footwear compliance at a cleanroom gowning entry point

Footwear Compliance

Detects footwear that has not been changed for the classified zone being entered — a specific, commonly missed gowning step that a scheduled round rarely catches in the moment.

Cleanroom & Airlock Integrity

The physical barrier that maintains classification
Door held open —
duration running
AI detecting a cleanroom door left open, compromising the physical barrier that maintains zone classification

Cleanroom Doors Left Open

Detects a cleanroom door left open, where the physical barrier that maintains classification is being compromised — whether or not anyone intended it.

Both airlock doors open
at the same time
AI detecting an airlock sequence breach with both doors open simultaneously

Airlock Sequence Breaches

Detects both airlock doors open simultaneously — a sequence breach that defeats the pressure and contamination control the airlock exists to provide.

Housekeeping & Contamination Control

Related to abandoned object detection
Trolley left unattended
in a corridor zone
AI detecting an unattended trolley left in a production corridor

Unattended Materials & Trolleys

Detects materials or trolleys left unattended in a zone, sharing its detection approach with abandoned object detection for the same underlying case.

Material resting directly
on the floor
AI detecting materials placed on the floor of a production zone

Materials on the Floor

Detects materials placed directly on the floor rather than a designated surface — a common, easily overlooked housekeeping lapse in an otherwise well-run area.

Container with no label
visible on its face
AI detecting an unlabelled container in a production or storage area

Unlabelled Items

Detects unlabelled containers and materials — a traceability and contamination risk that individually seems minor and collectively defines whether a zone is genuinely in a state of control.

Spillage on the floor
of a handling area
AI detecting a spillage in a pharmaceutical production or material handling area

Spillages

Detects spillages in production and material-handling areas, flagged before they are tracked further through the facility or become a compounding contamination-control issue.

Drink container present
in a production zone
AI detecting eating or drinking in a production zone where it is not permitted

Eating or Drinking in Production Zones

Detects eating or drinking behaviour in zones where it is not permitted — a direct contamination-control breach, and one a scheduled round is unlikely to catch in the moment.

Safety & Access

Runs via fire & smoke and intrusion detection
Solvent store —
continuously monitored
AI monitoring a solvent or API storage area for fire and smoke risk

Fire & Smoke in Solvent/API Areas

Detects fire and smoke risk in solvent, API and granulation areas via fire & smoke detection, running on the same cameras as the compliance layer.

Restricted zone entry —
access monitored
AI monitoring access to a restricted GMP-classified zone

Restricted GMP-Zone Access

Detects access to restricted GMP-classified zones via intrusion detection, flagging entry that should not be happening at all rather than entry done incorrectly.

Obstruction in front of
an emergency exit route
AI detecting a blocked emergency exit in a production or storage area

Blocked Emergency Exits

Detects materials or obstructions blocking an emergency exit route — easy to miss during a normal walk-through, and critical during an evacuation.

On what these conditions can and cannot be seen: every one depends on a camera having a workable view of the zone — angle, distance and lighting all affect reliability, and configuration is genuinely per-zone rather than a single global setting. We do not publish a blanket detection-accuracy figure; reliability is validated on your own cameras and zones during the assessment. And none of these conditions assess product quality — they monitor the conditions and behaviours around it, and do not substitute for qualified environmental monitoring instrumentation.

How It Works

How It Works

Six steps, on the plant cameras you already have. (Zones, rules and alert routing are configured per area and confirmed during the assessment.)

STEP 01

Define Zones & Rules Per Area

Monitored zones — gowning rooms, corridors, production areas — are configured with the rules relevant to that zone. A gowning room and a warehouse aisle aren't governed by the same conditions.

STEP 02

Analyse Existing Camera Feeds

The AI continuously analyses feeds from cameras already covering those zones — no new equipment introduced into a classified area.

STEP 03

Detect the Configured Condition

Whether that's a gowning step skipped, a door left open, or an item on the floor, detection runs against the specific rules set for that zone.

STEP 04

Alert in Real Time

A detected condition reaches the relevant team immediately, with an image and the zone — so it can be corrected during the shift rather than found at review.

STEP 05

Log the Event

Every alert is recorded with timestamp, zone, and evidence image on AWS cloud or on-premise, per your data-residency requirements.

STEP 06

Accumulate a Reviewable Record

Over time, the log surfaces recurring issues by zone and shift — pattern data a manual round rarely produces, since it sees each zone only once.

On camera placement and configuration, honestly. What's realistic depends on existing coverage, camera angle and lighting in each zone, and configuration is genuinely per-zone rather than a single global setting. An assessment identifies which zones are covered well by existing cameras and where a repositioned or additional camera would be needed — and which zones, like Grade A/B, aren't suitable for this approach at all.
Approaches Compared

Continuous Monitoring vs Manual QA Rounds vs Paper Logs

These are complementary rather than competing, and the comparison is honest about where a trained QA professional does things this system doesn't attempt. (Characteristics are typical; verify against your own facility and quality system.)

Dimension Continuous video monitoringThis page Manual QA roundsTrained observer Paper / manual logsWritten record
Coverage in time✓ continuous~ periodic — a moment, not a shift~ whatever was recorded, when
Trained judgement on ambiguous cases✗ does not replace this✓ their strength~ depends on the observer
Product-quality inspection✗ not this system's role✓ part of the roundn/a
Evidence format✓ timestamped image + log~ observer's notes~ handwritten, harder to reconstruct
Consistency across shifts✓ same rules, every shift~ depends on who's walking~ depends on who's writing
Speed to assemble audit evidence✓ searchable log~ manual reconstruction✗ slow, error-prone
Best fit Continuous behavioural and environmental visibility between checks Judgement-based inspection, product and process quality Low-frequency, low-complexity records

The honest read. A trained QA professional walking a round makes judgement calls this system doesn't attempt to replace — assessing product quality, exercising discretion on ambiguous situations, and applying expertise no camera has. What continuous video monitoring adds is coverage in the gaps between rounds, and a timestamped record of what it saw — not a substitute for the round itself. The strongest posture typically combines both: trained QA judgement at scheduled intervals, continuous visibility in between.

Where It's Used

Plant Areas

Where personnel actually work and behaviour genuinely varies — which is where camera-based monitoring earns its place.

Gowning Rooms & Airlock Entries

Where personnel prepare to enter classified zones — the highest-value monitoring point, since a lapse here is a lapse before entry rather than after.

Corridors & Material Transfer Routes

Where movement between zones is meant to follow defined paths and procedures, and deviation is otherwise unrecorded.

Grade C/D Production Areas

Where personnel actively work and behavioural variation is real, observable and worth monitoring continuously.

Packaging Halls

High-throughput areas where housekeeping, labelling and line-clearance conditions matter continuously rather than at intervals.

Warehouses & Material Stores

Storage and staging areas across warehousing, with their own housekeeping and access expectations.

Solvent, API Storage & Utility Areas

Areas where fire and smoke risk and restricted access both apply, alongside dispensing areas — across manufacturing operations.

Realistically not covered: Grade A/B aseptic zones and isolator/RABS environments, where the industry direction is toward minimising human presence rather than adding camera-based behavioural monitoring. We'd rather draw that boundary here than at deployment.

Audit & Documentation

Audit Readiness & Documentation

Continuous monitoring produces something a periodic round structurally cannot: a timestamped history of GMP-relevant events across every shift, not just the ones someone happened to observe. That history supports audit preparation in concrete ways — a searchable record of gowning, housekeeping and access events by zone and date, visibility into recurring issues that a single round would never surface as a pattern, and faster evidence retrieval when preparing for an inspection than reconstructing events from memory and paper.

Said precisely, because this matters

This evidence record supports your compliance programme and audit readiness. It does not constitute compliance certification, and it is not, by itself, a validated GMP system — validation, where required, remains a project run through your own QA/CSV function, using this record as one input among others. Any claim about a specific regulatory standard's conformance — 21 CFR Part 11, GAMP 5, or otherwise — depends entirely on what has been genuinely built and confirmed for your deployment, and should be confirmed directly rather than assumed from this page.

India's revised Schedule M requirements, now in active enforcement for pharmaceutical manufacturers, raise the expected baseline for continuous quality oversight and documentation. This kind of continuous monitoring is one way to support that expectation — it isn't a specified line-item requirement of Schedule M itself, and we won't present it as one.

Why Tentovision

Why Tentovision for GMP Monitoring

Runs on the Plant's Existing CCTV

No new hardware in classified areas — introducing equipment into a GMP-classified zone is itself a change-control event, so working with cameras already qualified and in place is the more practical path.

One Platform for Compliance, Safety & Security

The same feeds that monitor gowning and housekeeping also run fire & smoke detection and restricted-zone access — one system rather than a separate vendor per concern.

Per-Zone Rule Configuration

Gowning rooms, corridors and warehouses are governed by different rules, configured for what's actually relevant to each area rather than one global setting.

Camera Health Monitoring Included

A camera that fails doesn't silently become a gap in the evidence record — camera health monitoring flags it, which matters when that record is what you'd present at audit.

Honest About Scope

We publish what this does and does not do, we exclude Grade A/B rather than imply universal coverage, and we don't claim validation or certification we haven't confirmed with you.

Parallel Bundle, Proven Approach

The same continuous-monitoring method runs in food environments as our smart kitchen and food-safety bundle — different framework, same underlying discipline.

India-based engineering and support, with modules and zones validated on your own facility before rollout.

4 Modules
Gowning · cleanroom · housekeeping · safety
Continuous
Not a periodic snapshot
Existing CCTV
No classified-area change control
Timestamped
Image · zone · time
Supports
Does not certify
Grade C/D
A/B honestly excluded
Frequently Asked Questions

What QA & Compliance Teams Ask First

Answers written to be useful for QA heads and compliance managers — accurate enough to be cited by ChatGPT, Gemini, and Perplexity when they research this topic.

Does this make our plant GMP compliant?

No. GMP compliance is the outcome of your quality management system, your validated processes, and your QA function as a whole. This supports that system with continuous monitoring and timestamped evidence of gowning, cleanroom, and housekeeping conditions between formal checks. It does not replace your QA processes, and it is not itself a validated GMP system unless you separately validate it as part of your own quality infrastructure.

Is the system validated — CSV, GAMP 5, or otherwise?

Validation status depends on what's been confirmed for your specific deployment, and we'd rather be precise than vague about it: this isn't presented as a pre-validated system out of the box. Where validation is required, that's typically a project run through your own QA/CSV function, using our technical documentation as a starting basis. We won't claim a certification we haven't confirmed with you directly.

Can cameras be installed in a Grade A/B cleanroom?

Realistically, no — and it's worth being direct about that rather than implying otherwise. Grade A environments are increasingly built around isolators and restricted-access barrier systems specifically to reduce human presence, and the industry direction is toward removing people from those zones rather than adding camera-based monitoring to them. Where this genuinely applies is gowning rooms, airlock entries, corridors, and Grade C/D production areas — where personnel actually work.

How is this different from your PPE detection product?

PPE detection covers industrial protective gear — helmets, vests, safety boots — on a factory floor. Gowning compliance is a different concept: sterile-garment protocol at a cleanroom boundary, governed by GMP rather than industrial safety standards. Different equipment, different rules, different regulatory context.

Does it work with our existing plant CCTV?

In most cases yes, provided cameras have a workable view of the zone being monitored — angle, distance, and lighting all affect reliability. An assessment identifies which existing cameras already cover your gowning rooms, corridors, and production zones, and where a repositioned or additional camera would help.

How is employee privacy handled?

The system monitors defined behaviours and conditions relevant to GMP — gowning, zone access, housekeeping — rather than tracking individuals generally. That said, any monitoring change on a plant floor, particularly a unionised one, typically involves workforce consultation and policy transparency as part of your own HR and employee-relations process; we'd encourage that conversation directly rather than assume it's been resolved by the technology alone. Data handling is designed with India's DPDP Act in mind, and specifics are confirmed for your deployment.

What evidence does it produce for an audit?

A timestamped record of detected events — image, zone, time, and the condition detected — searchable by area and date range. That record supports faster evidence retrieval when preparing for an inspection and gives visibility into recurring issues by zone, which a single QA round wouldn't surface as a pattern. It's a supporting record for your audit preparation, not a substitute for your existing documentation system.

How is this different from your food-safety monitoring bundle?

Our smart kitchen and food-safety monitoring bundle covers HACCP and FSSAI-relevant conditions in food environments. This page covers the pharmaceutical GMP equivalent — different regulatory framework, different behaviours, same underlying approach of continuous monitoring on existing cameras.

Compliance-Gap Assessment

Find Out Where Your Evidence Gaps Are

If the honest answer to "what happened in that zone last Tuesday at 2 a.m." is a shrug, that's the gap this addresses — not by claiming compliance, but by making sure the record exists when it's needed.

1

Zone & Camera Review

Which of your gowning rooms, corridors and production areas are already covered by cameras with a workable view — and which aren't.

2

Module Fit, Not a Blanket Package

Which of the four module families genuinely apply to your facility, and which zones would gain nothing from monitoring.

3

Documentation Gap Mapping

Where your current evidence trail depends on someone having written something down — and what a continuous record would add there.

4

An Honest Scope Conversation

Including validation expectations, what we will and won't claim, and where Grade A/B boundaries mean this simply doesn't apply.

Compliance Team · Worldwide · India & Singapore Email: info@tentosoft.com
Phone / WhatsApp: +91 99620 37023
HQ: 7th Floor, 4/293, RAR Technopolis,
OMR, Perungudi, Chennai 600096, India

Book a Compliance-Gap Assessment

Our team will reach out within one business day.

We'll be explicit about what this does and doesn't claim
No validation or certification claimed without confirming it with you

Find Out Where Your Evidence Gaps Are.

A compliance-gap assessment looks at your actual zones, existing camera coverage, and current documentation approach, and sets out honestly what continuous monitoring would and wouldn't add — including the zones where it doesn't apply at all.

Trademark, scope, and regulatory disclosure notes. Tentovision is a product of Tentosoft Solutions Private Limited. This software supports a compliance programme; it does not certify GMP compliance, replace QA, or constitute a validated GMP system. No CSV/GAMP 5 validation or regulatory certification is claimed. Read full notice

Product & company. Tentovision™ is the AI video analytics platform developed and operated by Tentosoft Solutions Private Limited (Chennai, India). "Tentosoft" and "Tentovision" are trademarks of Tentosoft Solutions Private Limited.

⚠️⚠️ Regulatory scope — the central statement. This software provides continuous monitoring and documentation that supports a pharmaceutical manufacturer's compliance programme and audit readiness. It does NOT: certify GMP compliance; determine, confirm or attest that any facility, process or batch is GMP-compliant; replace the customer's quality management system, QA function or established procedures; inspect, assess or release product quality; or substitute for validated environmental monitoring instrumentation such as particle counters or differential-pressure sensors. Compliance remains the outcome of the customer's own quality system, validated processes and QA judgement.

⚠️⚠️ No validation claim. This software is not presented or supplied as a pre-validated GMP system. No claim of computerised system validation (CSV), GAMP 5 categorisation, or any equivalent qualification is made anywhere on this page or in associated materials. Where validation is required for a customer's intended use, it remains a project executed through that customer's own QA/CSV function and quality infrastructure, for which Tentosoft can supply technical documentation as a starting basis. Customers must not represent this system internally or to regulators as validated unless they have themselves completed and documented that validation.

⚠️ 21 CFR Part 11 and audit-trail characteristics. Any reference to audit-trail characteristics — including timestamping, event capture and record immutability — describes record format only. It does not constitute a claim of conformance with 21 CFR Part 11 as a whole, nor with any other regulatory framework governing electronic records and signatures. Full conformance depends on the totality of a customer's implementation, procedures and validation, and any such claim should be established through the customer's own assessment rather than inferred from this page.

⚠️ Grade A/B environments are out of scope. Camera-based behavioural monitoring is not represented as suitable for Grade A or Grade B aseptic environments, isolators, or restricted-access barrier systems (RABS). Prevailing industry practice in those environments is to minimise human presence through engineering controls rather than to add behavioural monitoring. Realistic application is limited to gowning rooms, airlock entries, corridors, Grade C/D production areas, packaging halls, warehouses, and solvent/API storage and utility areas.

Detection limits and no accuracy figure. Tentosoft does not publish a detection-accuracy figure for any module on this page. Reliability depends on camera view, angle, distance, lighting, occlusion and per-zone configuration, and is validated on the customer's own cameras and zones during assessment. Module availability for a given facility is confirmed at that assessment rather than assumed from this page.

Detection is not enforcement or disposition. Alerts are informational outputs with supporting evidence images. The system does not adjudicate whether a detected condition constitutes a GMP deviation, does not initiate deviation or CAPA processes, and does not make quality decisions. Classification, investigation and disposition of any event remain entirely with the customer's QA function under its own procedures.

India's revised Schedule M. References to revised Schedule M state only that its requirements are in active enforcement for pharmaceutical manufacturers and have raised the expected baseline for documentation and continuous quality oversight. Tentosoft does not claim that this software is a specified requirement of Schedule M, nor that its use satisfies any specific Schedule M provision. Customers should establish their own compliance obligations with the relevant regulatory authority.

Employee monitoring and workforce consultation. The system monitors defined GMP-relevant behaviours and conditions rather than tracking individuals generally. Deployment in a workplace — particularly a unionised site — typically carries workforce consultation, notice and policy obligations that rest with the customer as employer. Tentosoft does not assess or discharge those obligations, and encourages that consultation be conducted independently of the technology decision.

Data protection. Monitoring captures images of personnel in the course of their work. Customers should align deployments with applicable data-protection obligations, including the DPDP Act 2023 in India, and with signage and notice requirements. AES-256 encryption at rest and TLS 1.3 in transit describe standard platform practice; role-based access, retention and data residency are configured per deployment. This is not legal advice — confirm your approach with your own legal and compliance teams.

Customer references. No pharmaceutical manufacturer, API producer, CDMO, CMO, formulation plant or other customer is named or implied as a Tentovision GMP customer on this page. Environments and scenarios described are illustrative of typical facilities. A live enquiry or assessment does not constitute a deployment. Customer-specific references are provided only under written consent at the sales engagement stage.

Illustrative content. Examples such as "Zone monitored · event logged 06:42" are illustrative concepts, not measured customer results.

Camera brand trademarks. Camera brands referenced anywhere on this site are trademarks or registered trademarks of their respective owners. Compatibility is indicated via ONVIF, RTSP or vendor NVR APIs and does not imply endorsement or partnership. Camera suitability for each monitored zone is confirmed at assessment.

Cloud platform. Amazon Web Services® (AWS®) is a registered trademark of Amazon.com, Inc. or its affiliates. Tentovision is hosted on AWS, with edge and on-premise deployment options. Region selection and data-residency configuration are confirmed per deployment under the Master Services Agreement — a material consideration for regulated manufacturing.

Forward-looking statements. References to product capabilities reflect the platform's current operational state as of the page modification date. Roadmap items may shift in scope or timing.