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Industries

The same perception stack — detection, tracking, analytics, delivery — configured for the realities of each sector: its cameras, its constraints, and the decisions that matter on the ground.

01Smart Cities

Government & Smart Cities

Visual intelligence for safer, better-run public spaces.

Cities already operate thousands of cameras, yet most footage is only reviewed after something has gone wrong. NexShapers turns existing public camera estates into continuous sources of operational insight for traffic, cleanliness, safety and infrastructure teams.

Business challenges
  • Large camera networks with far too much footage for operators to watch in real time.

  • Traffic congestion and incident response that depend on manual reporting or periodic surveys.

  • Waste, flooding and road-surface issues discovered late, after residents complain.

  • Strict expectations around privacy, data residency and transparent use of public footage.

AI use cases
  • 01

    Traffic flow and intersection analytics

    Vehicle counting, classification, turning movements and queue lengths derived from existing junction cameras.

  • 02

    Public space occupancy

    Anonymous people counting and density mapping for parks, squares, stations and event venues.

  • 03

    Waste and street condition monitoring

    Detection of overflowing bins, illegal dumping and visible road defects along routine camera and vehicle-mounted views.

  • 04

    Incident detection

    Stopped vehicles, wrong-way driving, crowd surges and restricted-zone entry surfaced as alerts instead of post-hoc review.

02Manufacturing

Manufacturing & Industrial

Every unit inspected, every line understood.

Production environments generate visual information at a pace no inspection team can match by eye. NexShapers builds vision systems that inspect, count and monitor directly on the line, feeding results into the quality and operations systems plants already run.

Business challenges
  • Manual inspection that is inconsistent across shifts and cannot keep pace with line speed.

  • Defects discovered downstream or by customers, after rework and shipping costs have been incurred.

  • Limited visibility into line stoppages, bottlenecks and manual process adherence.

  • Harsh conditions, variable lighting and legacy equipment that make off-the-shelf tools unreliable.

AI use cases
  • 01

    Automated visual inspection

    Surface, assembly and packaging defect detection trained on the plant's own good and bad examples.

  • 02

    Product and component counting

    High-speed counting and verification of parts, packs and pallets at fill, pack and dispatch points.

  • 03

    Production-line monitoring

    Detection of stoppages, jams and deviations from the expected process sequence across stations.

  • 04

    Workforce safety compliance

    PPE and restricted-zone monitoring around machinery, robots and forklift routes.

03Retail

Retail & Commercial

Understand the store the way you understand the website.

Physical retail knows what sold but rarely why. NexShapers applies vision analytics to store cameras so operators can understand movement, queues, shelf availability and loss in the same quantified way they understand digital channels.

Business challenges
  • No reliable measure of footfall, dwell and conversion by zone or display.

  • Queues that grow unnoticed until customers abandon baskets or leave reviews.

  • Out-of-stock shelves identified by staff walk-arounds rather than continuous observation.

  • Shrinkage investigated after the fact with hours of footage review.

AI use cases
  • 01

    Customer movement analytics

    Anonymous path, dwell and heat-map analysis that shows how shoppers actually move through layouts.

  • 02

    Queue and service monitoring

    Real-time queue length and wait estimation at checkouts and service counters, with alerts for staffing.

  • 03

    Shelf and planogram monitoring

    Detection of empty facings, misplaced products and planogram drift from fixed or mobile cameras.

  • 04

    Loss-prevention analytics

    Event detection at self-checkouts, exits and high-value displays that prioritizes footage for review.

04Transportation

Transportation & Logistics

See every vehicle, every gate, every handover.

Fleets, yards, terminals and warehouses move constantly, and the record of what moved where is often incomplete. NexShapers builds vehicle and asset intelligence that creates that record automatically from cameras at gates, docks and along routes.

Business challenges
  • Manual gate processes that slow throughput and leave gaps in vehicle records.

  • Limited visibility of yard occupancy, dwell times and dock utilization.

  • Damage and loading disputes resolved without clear visual evidence.

  • Safety incidents involving pedestrians, forklifts and reversing vehicles in shared spaces.

AI use cases
  • 01

    Gate automation and vehicle recognition

    Vehicle detection, classification and identifier recognition that links arrivals to bookings and manifests.

  • 02

    Yard and dock intelligence

    Tracking of trailers and vehicles across the yard to measure dwell, occupancy and turnaround.

  • 03

    Loading and handover documentation

    Automatic visual records of load condition and handover events for dispute resolution.

  • 04

    Shared-space safety

    Detection of pedestrians in vehicle zones, speeding in yards and near-miss events.

05Infrastructure

Infrastructure & Construction

Monitor sites and assets continuously, not occasionally.

Construction sites and critical infrastructure are spread out, changing and hard to supervise. NexShapers uses fixed, mobile and temporary cameras to monitor progress, safety and asset condition without adding supervisory headcount.

Business challenges
  • Safety supervision that cannot cover every zone of a large, active site at once.

  • Unauthorized access and equipment theft outside working hours.

  • Progress tracking based on periodic walkthroughs and manual reports.

  • Infrastructure assets inspected on fixed schedules rather than on observed condition.

AI use cases
  • 01

    Site safety monitoring

    PPE compliance, exclusion-zone breaches and proximity to plant detected from site cameras.

  • 02

    Perimeter and after-hours security

    Intrusion detection and vehicle logging across temporary and permanent perimeters.

  • 03

    Progress and activity tracking

    Detection of equipment activity, deliveries and work-zone occupancy to support progress reporting.

  • 04

    Asset condition inspection

    Visual anomaly detection on structures, roads and equipment from fixed or vehicle-mounted cameras.

06Enterprise

Hospitality & Enterprise

Intelligent buildings that respond to how people use them.

Hotels, campuses and corporate estates run large camera estates primarily for security. NexShapers extends that investment into occupancy, service and safety intelligence that improves operations while respecting guest and employee privacy.

Business challenges
  • Security teams monitoring many feeds across sites with limited ability to prioritize.

  • Little data on how lobbies, meeting spaces, restaurants and amenities are actually used.

  • Service queues and wait times that affect guest experience but are rarely measured.

  • Access and safety policies that are hard to verify across distributed properties.

AI use cases
  • 01

    Centralized multi-site monitoring

    Event-driven alerts that bring the right feed to the operator across a portfolio of properties.

  • 02

    Space utilization analytics

    Anonymous occupancy and dwell measurement for lobbies, workspaces, amenities and parking.

  • 03

    Service and queue intelligence

    Front-desk, restaurant and valet queue monitoring that triggers staffing responses.

  • 04

    Access and safety compliance

    Restricted-area monitoring, tailgating detection and after-hours activity alerts.

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