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Turn passive CCTV into proactive intelligence.

Mikshi AI Vision transforms existing camera networks into real-time safety, security and productivity intelligence for businesses, campuses, factories, cities and critical operating environments.

AI Vision analytics and automation
RTSP Works with existing IP cameras
Edge Low bandwidth local processing
Cloud Remote dashboard, alerts and reports

AI surveillance built for modern businesses.

Mikshi AI brings real-time intelligence to existing surveillance systems. Instead of only recording history, the platform helps teams detect, respond to and prevent incidents across safety, security, compliance and operational workflows.

One AI surveillance platform for every operating environment.

Mikshi AI adapts to industry-specific needs with analytics for factories, malls, hospitals, banks, schools, warehouses, smart cities and corporate workspaces.

Manufacturing AI video analytics Manufacturing
Manufacturing safety and productivity

Detect PPE violations, unsafe behavior, restricted zone breaches and floor visibility gaps before incidents escalate.

Retail AI video analytics Retail
Retail and mall intelligence

Measure footfall, dwell time, queues, suspicious behavior, blocked exits and customer movement patterns.

Healthcare AI surveillance Healthcare
Hospital safety monitoring

Detect patient safety risks, restricted area access, PPE compliance, queue delays and staff coverage gaps.

Smart city AI surveillance Smart City
Public safety and city operations

Monitor crowd density, fights, fire and smoke, weapons, traffic congestion, violations and sanitation route compliance.

Hybrid edge and cloud AI for faster decisions.

Mikshi AI can process heavy video workloads near the camera network while using cloud dashboards for alerts, reports and remote access.

01
Plug-and-play camera intelligence

Works with existing IP cameras and NVRs through standard video streams, avoiding costly rip-and-replace upgrades.

02
Real-time alerts and automation

Generate event alerts in seconds and connect detections to alarms, doors, dashboards and response workflows.

03
VLM-powered search and insight

Use vision-language intelligence to search people, vehicles, events and activity patterns across multiple cameras.

04
Compliance reporting

Create daily, weekly or monthly safety, audit and operations reports from video intelligence events.

Video analytics mapped to safety, security and operations.

The platform covers use cases that convert visual data into action, from compliance alerts to business intelligence and investigative search.

PPE and safety detection analytics Safety
PPE and unsafe behavior detection

Monitor helmet, vest and PPE rules, mobile phone usage, slip and fall risks, unsafe movement and workplace safety deviations.

Footfall and queue analytics Operations
Footfall, queue and workflow analytics

Turn cameras into operational sensors for crowd density, wait time, dwell time, heatmaps, workforce presence and facility utilization.

Security
Intrusion and access monitoring

Detect unauthorized entry, after-hours intrusion, restricted zone breaches, tailgating and blacklisted person presence.

Emergency
Fire, smoke and incident detection

Identify fire and smoke signals, fights, vandalism, weapons, abandoned objects and urgent response events.

Search
Person and vehicle search

Search people and vehicles across cameras using appearance, movement and event-based video intelligence.

Logistics
Yard and vehicle movement analysis

Track forklifts, pedestrian-vehicle proximity, loading activity, dock usage, yard flow and idle zone patterns.

QC
Object counting and visual checks

Use video intelligence for object counting, process checkpoints and visual quality assurance support.

Industry-specific dashboards for every team.

Mikshi AI turns security cameras into business tools for industries where safety, compliance, service speed and situational awareness matter every day.

Mikshi AI dashboard illustration
One vision layer. Multiple operating goals.
Education and campuses

Monitor crowding, bullying, fire risks, slips, unauthorized entry, attendance and facility utilization.

BFSI and banking

Protect vaults, branches, ATMs, after-hours zones and customer queues with real-time video intelligence.

Warehousing and logistics

Detect theft, pilferage, PPE violations, perimeter breaches, forklift safety issues and dock bottlenecks.

Corporate offices and IT parks

Detect tailgating, unauthorized access, overcrowding, staff coverage gaps and shared space utilization.

Built for measurable operational change.

Our deployment outcomes focus on factory safety compliance, physical security, and HR integration.

Factory safety compliance Factory safety
From manual spot checks to 24/7 compliance

Factory teams can move from periodic inspection to real-time alerts whenever a safety protocol is breached.

Hardware-agnostic integration Channel ready
Hardware-agnostic integration

RTSP-based compatibility lets partners upgrade existing camera brands without forcing customers into a full hardware replacement.

Security connected to HR workflows Workforce
Security connected to HR workflows

Facial recognition and tailgating intelligence can strengthen workspace security while feeding useful signals into HR dashboards.

Trusted customers ahead in surveillance Trusted
Customers already ahead in surveillance

Mikshi is positioned for organizations ready to move from camera recording to proactive video intelligence.

How to plan an AI video analytics deployment.

Before enabling analytics, map cameras, sites, risk events, network conditions, alert workflows and reporting needs.

01
Audit your camera network

List IP cameras, NVRs, RTSP streams, camera angles, blind spots, resolution and night visibility.

02
Select priority events

Choose safety, intrusion, fire, crowd, queue, search, PPE, theft, tailgating or operations events first.

03
Define alert workflow

Map who receives alerts, how escalation works and which events require alarms, doors or response tickets.

04
Choose deployment model

Decide on on-premise, cloud or hybrid edge-cloud architecture based on bandwidth, privacy and latency.

05
Plan dashboards and reports

Define daily, weekly and monthly compliance, safety, audit and operations reports for each stakeholder.

06
Measure business impact

Track incident reduction, response time, compliance rate, queue time, footfall, productivity and investigation speed.

Frequently asked questions.

Clear answers for teams evaluating AI video analytics, intelligent surveillance, VLM and CCTV intelligence.

What makes Mikshi different from traditional CCTV?

Traditional CCTV mainly records events for review. Mikshi AI adds real-time insights, alerts and analytics so teams can detect, respond to and prevent incidents proactively.

What infrastructure is required?

The platform works with standard IP cameras and a network connection. It can be deployed on-premise, in the cloud or in a hybrid model.

Can Mikshi be customized by industry?

Yes. Mikshi AI is designed to adapt to manufacturing, retail, education, healthcare, BFSI, logistics, smart city and corporate use cases with industry-specific models and dashboards.

Does Mikshi support real-time alerts?

Yes. The system generates alerts for predefined events such as unauthorized access, PPE non-compliance, restricted area entry, speed violations and more.

Can reports be generated for compliance and audits?

Yes. The platform can generate daily, weekly or monthly reports for audits, safety compliance and operational insights.

Ready to upgrade your CCTV into AI intelligence?

Share your camera count, industry, priority use cases, deployment preference and reporting needs. The Mikshi team can help map the right AI video analytics rollout.