Turn every factory camera into a safety & productivity engine
Slinai transforms your existing CCTV into PPE compliance monitoring, production line tracking, safety zone alerts, equipment analysis, and intrusion detection — no new hardware, no rip-and-replace. Agentic AI lets you ask questions in plain language and get WhatsApp alerts automatically.
Works with any IP camera · Hikvision · CP Plus · Dahua · ONVIF
Quick answer — What is manufacturing video analytics?
Manufacturing video analytics is AI software that turns existing factory CCTV cameras into real-time operational intelligence. It monitors PPE compliance (helmet, vest, gloves, shoes), safety zones, production lines, equipment status, worker movement, uniform detection, supervisor presence, perimeter intrusion, and quality control — without new hardware. Indian manufacturing plants use it to reach 91% PPE compliance, improve SOP adherence by 65%, reduce safety incidents by 38%, and achieve payback in 2–3 months. Slinai adds an agentic layer: ask questions in plain language, set monitoring rules once, and receive verified clip-backed alerts on WhatsApp automatically.
Figures from manufacturing video analytics case studies; actual results vary by plant size, shift patterns and execution.
According to OSHA (opens in new tab) , tracks manufacturing among the sectors with the highest rates of severe workplace injuries — driving demand for continuous PPE, machine-guard and safety-zone monitoring beyond periodic audits.
According to National Safety Council (opens in new tab) , estimates 3.95 million medically consulted work injuries in 2024 in the U.S. — a scale that pushes plant leaders toward 24/7 visual compliance on existing factory cameras.
What is manufacturing video analytics and why are India's top plants adopting it?
Manufacturing video analytics applies computer vision and artificial intelligence to existing factory security cameras, transforming passive CCTV into real-time safety and productivity intelligence. Unlike traditional surveillance reviewed after incidents, modern AI video analytics for manufacturing processes every frame — detecting PPE violations, safety zone breaches, equipment stoppages, and intrusion events as they happen.
The technology answers the question plant managers have struggled with for decades: "Is my factory floor safe, compliant, and productive right now?" Manual safety audits capture a snapshot; production dashboards show numbers without visual context. Manufacturing video analytics bridges both — giving EHS teams, production managers, and plant heads continuous, camera-verified visibility across every shift.
India's manufacturing sector — automotive, FMCG, pharma, electronics, and heavy industry — is accelerating adoption as affordable IP cameras and mature AI inference make deployment practical on existing infrastructure. With Make in India driving capacity expansion and stricter EHS compliance, plants need scalable monitoring that works across multiple facilities without deploying wearables or specialised hardware on every worker.
Slinai takes this further with agentic AI video analytics — instead of dashboards you have to check, AI agents watch your cameras 24/7 and proactively surface safety and production insights. Ask "What's PPE compliance on Line 3 this shift?" in plain English or Hindi. Set a rule — "alert me if anyone enters the chemical zone without a helmet" — and the agent handles the rest, sending verified clip-backed notifications to WhatsApp.
Talk to your factory cameras. Get answers.
Ask about any line or zone in plain language, set a monitoring rule once, and let Slinai agents watch your factory floor 24/7 — surfacing PPE compliance, safety events, line status and equipment alerts without anyone watching a screen.
- ASK
Ask in plain language
Question any line, zone or plant in English or Hindi — PPE, safety, equipment, worker counts or intrusions. No dashboards to learn.
- MONITOR
Agents watch 24/7
Set up monitoring once and agents watch every camera around the clock, detecting only the factory events that matter to your EHS and operations teams.
- ACT
Close the loop
Verified, clip-backed alerts land on WhatsApp, Slack or Teams — so supervisors and plant managers act in the moment.
What's PPE compliance on Assembly Line 3 this shift?
Line 3 is at 91% PPE compliance this shift — 4 helmet violations and 2 missing-vest events flagged, all with clip evidence.
Is the CNC bay running right now?
CNC Bay 2 has been idle for 14 minutes — no operator present. Last active output was 08:42. Predictive maintenance flag raised.
Alert me if anyone enters the chemical storage zone without a helmet.
Done. I'll watch CAM-PLT-09 and message you on WhatsApp the moment someone enters Zone C without head protection.
Show intrusion events at the north gate last night.
2 perimeter intrusion events at North Gate between 22:00–06:00 — tailgating at 23:14 and unauthorised vehicle at 02:47. Clips attached.
How many workers are on the packaging floor right now?
47 workers on the packaging floor — 3 above shift target. Supervisor Rajesh confirmed present at 14:05.
Everything your existing cameras can tell you about your factory floor
From PPE compliance to production line monitoring — every capability runs on your current CCTV, no new hardware needed.
PPE compliance monitoring
Detect missing helmets, safety vests, gloves, and shoes in real time — with per-shift compliance scores, violation clips, and trend dashboards. Case studies reach 91% sustained PPE compliance.
Uniform detection
Verify workers wear approved plant uniforms and colour-coded attire in designated zones. Flag incorrect or missing uniforms before workers enter production areas.
Supervisor presence
Confirm shift supervisors are on the floor at required intervals and during critical operations. Absence during handover windows or high-risk tasks triggers instant alerts.
Safety monitoring
Continuous monitoring of safety SOPs — restricted zone breaches, machine proximity violations, spill hazards, and unsafe behaviour patterns with clip-backed evidence for EHS audits.
Perimeter monitoring
Exterior and boundary cameras detect loitering, tailgating, forced-entry attempts, and unauthorised vehicle access around plant perimeters — alerting security before threats reach the floor.
Compliance cleaning
Verify scheduled cleaning and hygiene routines in production areas, washdown zones, and cleanrooms. Missed or incomplete cleaning cycles trigger alerts to quality and EHS teams.
Equipment analysis
Analyse equipment utilisation, idle vs. active states, and throughput patterns from overhead cameras. Identify bottlenecks and correlate visual equipment behaviour with production data.
Worker counting
Automated headcount by zone, shift, and production line with 98%+ accuracy. Track occupancy limits, shift handover headcount, and staffing levels against production targets.
Equipment monitoring
Real-time monitoring of critical machinery — stoppages, idle spikes, operator absence, and abnormal states. Predictive maintenance alerts fire before unplanned downtime escalates.
Movement analysis
Track worker movement patterns, zone dwell time, traffic flow, and congestion hotspots. Optimise floor layouts, reduce unnecessary travel, and improve line-side productivity.
Intrusion detection
After-hours and restricted-area intrusion alerts trigger instantly when unauthorised personnel enter production floors, chemical storage, or server rooms — with clip-backed WhatsApp notifications.
Agentic AI — talk to your cameras
Ask questions in plain English or Hindi. Set monitoring rules in one sentence. AI agents watch every camera 24/7, verify events, and send clip-backed alerts to WhatsApp automatically. No dashboards to learn.
Works with your existing factory CCTV infrastructure
No new cameras needed. Connect your existing setup and start getting manufacturing video analytics insights in days, not months.
Connect existing cameras
Link your IP cameras, NVR, or DVR via RTSP/ONVIF. No new hardware — works with Hikvision, CP Plus, Dahua, and any ONVIF device already on your factory floor.
AI maps your plant
Computer vision models configure safety zones, PPE detection rules, production line areas, restricted zones, and perimeter boundaries customised to your plant layout.
Real-time intelligence flows
PPE scores, line status, equipment alerts, worker counts, and movement data stream to your centralised dashboard. Multi-plant benchmarking from day one.
Agents alert on WhatsApp
Set rules in plain language. AI agents watch 24/7 and send clip-backed alerts to WhatsApp, Slack, or Teams the moment a safety or production event needs attention.
Optimise and scale
Use data-driven insights to improve SOP compliance, reduce incidents, and boost line productivity. Replicate winning configurations across all plants.
Helmet, vest, gloves and shoes — verified on every worker, every shift
Manual PPE audits capture a moment in time — and workers often comply only when auditors are visible. AI-powered PPE compliance monitoring uses your existing cameras to detect missing hard hats, safety vests, gloves, and shoes in real time, scoring every worker who enters a monitored zone.
When a violation is detected, supervisors receive an instant WhatsApp alert with a timestamped clip — enabling correction before an incident occurs, not during a post-shift review. Shift-level dashboards show compliance percentages, trending violations by zone, and repeat offenders — giving EHS teams data to drive sustained behavioural change.
Manufacturing case studies using automated PPE monitoring report sustained 91% compliance rates — a dramatic improvement over manual audit baselines. For multi-plant operators, centralised benchmarking reveals which facilities and shifts need targeted intervention.
See every line, every machine — in real time
Production managers often rely on MES dashboards that show numbers without visual confirmation. Production line monitoring from Slinai adds a camera-verified layer — tracking line throughput, stoppage events, operator presence, and equipment idle states from overhead cameras.
Equipment monitoring detects when critical machinery goes idle unexpectedly, when operators leave stations during active production, and when visual anomalies suggest maintenance is needed. Predictive maintenance alerts fire when idle-time patterns or stoppage frequency exceed baselines — giving maintenance teams lead time before unplanned downtime hits output targets.
Data exports to MES, ERP, and Power BI via REST API — correlating visual equipment analysis with OEE metrics and production schedules across every shift and plant.
- Line throughput and stoppage detection
- Equipment idle and operator absence alerts
- Predictive maintenance from visual anomaly patterns
- MES and ERP integration via REST API
Stop zone breaches and machine proximity violations before someone gets hurt
Restricted zones around heavy machinery, chemical storage, and high-voltage equipment are among the highest-risk areas on any factory floor. Traditional approaches rely on signage and training — but violations happen when attention lapses under production pressure.
Slinai's safety zone monitoring draws configurable polygons around danger areas and machine perimeters. When a worker enters a restricted zone without authorisation or crosses a machine proximity threshold, the system fires an instant alert with clip evidence — enabling supervisors to intervene in seconds.
Combined with PPE detection, the platform enforces layered safety: a worker near a press brake without gloves and inside the proximity zone triggers a critical alert. Case studies report 38% reduction in safety incidents when plants act on real-time zone and proximity monitoring.
See what your factory cameras have been missing.
Book a 30-minute walkthrough on your own plant footage — no new hardware, no rip-and-replace, no risk.
Catch defects on the line — not at the end of it
End-of-line inspection catches defects too late — after materials, labour, and machine time are already spent. Quality control automation uses in-line cameras to detect visual defects, misaligned labels, missing components, and packaging errors as products move through the production process.
Slinai flags anomalies with timestamped clip evidence and defect classification — enabling QC teams to intervene at the source rather than scrapping finished batches. Defect rates trend by line, shift, and product type for continuous improvement programmes.
For regulated industries like pharma and food processing, inline QC data supplements batch records and supports audit trails — with every flagged event linked to camera evidence and shift metadata.
Optimise floor layouts and staffing with movement intelligence
Workers spend significant time moving between stations, waiting at bottlenecks, and navigating congested zones — invisible in production reports but measurable from overhead cameras. Movement analysis maps traffic flow, dwell hotspots, and congestion patterns across the factory floor.
Combined with worker counting, plant managers see real-time headcount by zone and shift — supporting staffing decisions, shift handover verification, and occupancy limit enforcement. Heatmaps reveal which paths workers use most and where unnecessary travel wastes productive time.
Slinai correlates movement data with line output to identify productivity levers: repositioning material racks, adjusting shift breaks, or redeploying workers from low-traffic to bottleneck zones. Case studies associate movement optimisation with meaningful SOP improvement — up to 65% when teams act on camera-verified workflow data.
Protect your plant boundary — before threats reach the floor
Manufacturing plants hold high-value inventory, hazardous materials, and critical equipment — making perimeter security essential. Most facilities rely on guards at main gates while fence lines, loading bays, and secondary entrances go unmonitored after hours.
Slinai's perimeter monitoring and intrusion detection turn existing exterior cameras into a proactive security layer. The system detects fence breaches, tailgating through gates, unauthorised vehicle entry, loitering near loading docks, and after-hours approach to restricted areas — sending real-time WhatsApp alerts with clip evidence.
For multi-building campuses, the platform creates a unified perimeter intelligence layer — covering chemical storage yards, raw material warehouses, and employee parking areas from a single dashboard.
- Fence breach and gate tailgating detection
- After-hours approach and vehicle intrusion alerts
- Loading bay and warehouse perimeter monitoring
- Instant WhatsApp alerts with clip evidence
Right uniform, right zone — with supervisors present when it matters
Colour-coded uniforms and approved workwear are critical in plants where zone access depends on attire — cleanrooms, chemical areas, and food production lines. Uniform detection verifies workers wear approved plant attire before entering designated zones, flagging incorrect or missing uniforms instantly.
Supervisor presence monitoring confirms shift supervisors are on the floor at required intervals — especially during critical operations, shift handover windows, and high-risk tasks. When a supervisor is absent beyond a configured threshold, the system alerts plant management with timestamped evidence.
Combined with compliance cleaning verification, the platform creates a complete operational compliance picture: the right people, in the right attire, in the right zones, with supervisors accountable — all verified by camera, not clipboard.
Ready to see manufacturing intelligence on your factory cameras?
Book a 30-minute walkthrough — we'll show PPE compliance, safety zones, line monitoring and equipment alerts on the CCTV you already have.
How does manufacturing video analytics transform plant operations?
Side-by-side comparison — before and after deploying AI video analytics on existing factory CCTV.
| Metric | Without video analytics | With Slinai |
|---|---|---|
| PPE compliance | Periodic manual audits — violations discovered hours later | Real-time helmet, vest, glove and shoe detection with 91%+ compliance rates |
| Safety incidents | Reactive — incidents reviewed from footage after the fact | Proactive alerts before escalation; 38% incident reduction in case studies |
| SOP adherence | Paper checklists and spot checks — inconsistent coverage | Automated SOP verification with 65% improvement and clip evidence |
| Production line visibility | MES data only — no visual confirmation of line status | Camera-verified throughput, stoppages, and bottleneck identification |
| Equipment downtime | Unplanned failures discovered when output drops | Predictive maintenance alerts from visual anomaly and idle-time patterns |
| Quality control | End-of-line inspection catches defects late | In-line visual QC automation flags defects earlier in the process |
| Worker productivity | No visibility into movement waste or zone congestion | Movement analysis and heatmaps optimise floor layouts and staffing |
| Supervisor compliance | Trust-based — no verification of floor presence | Automated supervisor presence checks with timestamped evidence |
| Perimeter security | Guards only or no exterior monitoring | AI detects intrusion, tailgating, and after-hours approach automatically |
| Shift handover | Manual headcount and paper sign-off | Automated worker counting and supervisor verification at shift change |
| Multi-plant benchmarking | Siloed data across plants in spreadsheets | Centralised dashboard across all facilities in real time |
| Hardware required | New sensors, wearables, or specialised safety cameras | Works with existing CCTV — zero new hardware investment |
| Time to ROI | 12–18 months (traditional safety systems) | 2–3 months typical payback from compliance and downtime gains |
Purpose-built for every manufacturing format
Whether you run automotive assembly, FMCG processing, pharma cleanrooms, or heavy fabrication — the platform adapts to your operational needs.
Automotive & assembly
- PPE compliance on assembly lines
- Machine proximity alerts
- Supervisor presence verification
- Equipment downtime detection
FMCG & food processing
- Hygiene & compliance cleaning
- Uniform detection in production zones
- Line throughput monitoring
- Quality control automation
Pharmaceuticals
- Cleanroom compliance monitoring
- Restricted zone access control
- GMP SOP verification
- Shift handover documentation
Electronics manufacturing
- ESD zone compliance
- Worker counting by line
- Equipment analysis & OEE correlation
- Perimeter intrusion detection
Metal & heavy industry
- Helmet and vest enforcement
- Safety zone monitoring
- Movement analysis in hazardous areas
- Predictive maintenance alerts
Textiles & chemicals
- PPE gloves and shoe detection
- Chemical storage zone monitoring
- Worker movement optimisation
- Multi-shift compliance reporting
Seamless integration with your existing manufacturing infrastructure
From cameras to MES to ERP — works with what you already have.
Built for Indian manufacturing operations at scale
India's manufacturing sector is expanding rapidly under Make in India — with plants multiplying across tier-2 and tier-3 industrial corridors where EHS compliance and operational visibility become harder to maintain centrally. Slinai is purpose-built for this reality:
- Works with Indian camera brands — Hikvision, CP Plus, Dahua, and any ONVIF device. No replacement needed for cameras already deployed across Indian factory floors.
- Hindi + English agentic interface — plant managers and EHS supervisors can ask questions and receive alerts in the language they're comfortable with.
- WhatsApp-first alerting — because that's where Indian plant operations teams actually communicate. Safety alerts reach supervisors instantly, not buried in email.
- MES, ERP and SAP integration — safety events, PPE scores, and line data push into your existing operational systems via REST API and webhooks.
- Edge + cloud flexibility — on-premise processing for data residency and air-gapped plants, cloud for multi-site scale, or hybrid for the best of both.
- DPDP Act aligned — privacy-first design with no facial recognition, no PII capture, encrypted access, and audit logging.
- Priced for Indian scale — per-camera monthly pricing that makes deployment economical whether you have 1 plant or 50.
Ready to turn your CCTV into manufacturing intelligence?
Tell us about your plant and we'll show you exactly what Slinai surfaces on the cameras you already own.
Enterprise-grade privacy without compromising safety insights
Slinai analyses patterns and events — not personal identities. Get the safety and productivity insight without the risk, and pass legal, IT, and procurement review with confidence.
No facial recognition
Behaviour and PPE analysis only — no biometrics, no PII capture, no identity tracking.
On-premise option
Video stays on your infrastructure. Edge processing for air-gapped and data-residency requirements.
DPDP aligned
Designed to meet India's Digital Personal Data Protection Act requirements.
Role-based access
Encrypted connections, MFA, audit logs — enterprise security from day one.
Frequently asked questions about manufacturing video analytics
Everything you need to know about deploying AI video analytics on your factory floor.
What is manufacturing video analytics?
Manufacturing video analytics is AI software that processes existing factory CCTV feeds in real time to monitor PPE compliance, safety zones, production lines, equipment status, worker movement, uniform detection, supervisor presence, and perimeter intrusion — turning passive surveillance into operational intelligence. Slinai works on any IP camera, NVR, or DVR without new hardware.
How does AI video analytics improve factory safety?
By detecting missing PPE (helmet, vest, gloves, shoes), unauthorised entry into restricted zones, machine proximity violations, and safety SOP breaches in real time — with instant clip-backed WhatsApp alerts to supervisors. Case studies report up to 38% reduction in safety incidents when teams act on automated monitoring.
Does manufacturing CCTV analytics work with my existing cameras?
Yes. Slinai connects to any IP camera, NVR, or DVR via RTSP or ONVIF — Hikvision, CP Plus, Dahua, Axis, Bosch, and others common on Indian factory floors. No camera replacement or new hardware is required.
What PPE items can video analytics detect?
The platform detects hard hats/helmets, high-visibility safety vests, safety gloves, and safety shoes/boots — individually or in combination. Each item is scored per worker with shift-level compliance percentages, trend reports, and clip evidence for every violation flagged.
Can video analytics monitor production lines?
Yes. Slinai tracks line throughput, equipment idle vs. active states, bottleneck zones, and stoppage events from overhead cameras. Data feeds into MES dashboards or exports via REST API for correlation with production targets and OEE metrics.
How does equipment monitoring and predictive maintenance work?
Computer vision monitors equipment for abnormal vibration patterns (visual cues), unexpected stoppages, idle-time spikes, and operator absence at critical stations. Anomaly trends trigger predictive maintenance alerts before unplanned downtime — correlated with historical equipment analysis data from the same camera feeds.
What ROI can I expect from manufacturing video analytics?
Industry case studies report 91% PPE compliance rates (up from manual audits), 65% SOP improvement, 38% incident reduction, and typical payback within 2–3 months. Actual results depend on plant size, shift patterns, and how quickly teams respond to alerts.
How long does deployment take on a factory floor?
Single-plant deployment typically takes 7–14 days including site assessment, camera mapping, zone configuration for safety areas and production lines, AI model tuning, and operator training. Multi-plant rollouts use configuration templates — 10+ plants can be live in 8–12 weeks.
Can it integrate with MES, ERP, and SAP?
Yes. Slinai integrates with MES, ERP (including SAP), Power BI, Tableau, and custom systems via REST API and webhooks. Safety events, PPE scores, line stoppages, and worker counts can push into your existing operational dashboards automatically.
How does agentic AI work on the factory floor?
Instead of dashboards you must check, Slinai's agentic AI lets plant managers ask questions in plain English or Hindi ("What's PPE compliance on Line 3 this shift?"), set monitoring rules once ("alert me if anyone enters Zone B without a helmet"), and receive verified clip-backed alerts on WhatsApp automatically.
How is worker privacy protected in manufacturing?
Slinai analyses behavioural patterns, PPE status, and zone occupancy — not personal identities. No facial recognition or biometric storage. Video can remain on-premise, all access is encrypted and role-based, and the platform aligns with India's DPDP Act.
Can the system detect uniform and supervisor compliance?
Yes. Uniform detection verifies workers wear approved plant attire in designated zones. Supervisor presence monitoring confirms shift supervisors are on the floor at required intervals — flagging absence during critical operations or handover windows with timestamped clip evidence.
What is compliance cleaning monitoring?
AI verifies scheduled cleaning and hygiene routines in production areas, washdown zones, and cleanrooms — checking that cleaning SOPs are performed on time with visual confirmation. Missed or incomplete cleaning cycles trigger alerts to quality and EHS teams.
How does perimeter and intrusion detection work in plants?
Slinai monitors fence lines, gates, loading bays, and restricted areas for after-hours intrusion, tailgating, and unauthorised vehicle or personnel entry. Perimeter cameras send real-time WhatsApp alerts with clip evidence before threats reach the production floor.
Can video analytics support shift handover monitoring?
Yes. Worker counting and movement analysis track headcount by shift, zone occupancy during handover windows, and supervisor sign-off presence. The system flags incomplete handovers, overcrowding in transition zones, and missing supervisor coverage at shift change.
What types of manufacturing facilities benefit most?
Automotive assembly, FMCG and food processing, pharmaceuticals, electronics manufacturing, metal fabrication, textiles, and chemical plants — any facility with safety compliance requirements, production lines, and existing CCTV infrastructure sees measurable impact from AI video analytics.
Keep exploring Slinai
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