Concept and scope of application

What is the multi-camera personnel positioning platform?

direct answer

The multi-camera personnel positioning platform collects on-site videos through multiple fixed cameras, completes personnel detection and tracking in various viewing angles, and then uses ground calibration to convert image coordinates into unified site map coordinates to form position, trajectory, regional events and equipment status data. Compared with ordinary video surveillance, the platform adds unified coordinates, cross-camera association, trajectory management and business interface layers.

Ability levelmain outputProject configuration
video surveillanceMulti-channel images, recording and playbackCamera networking, video encoding and storage strategies
Personnel detection and single-way trackingPersonnel target, single path trajectory and detection statusViewing angle, clarity, occlusion and detection model
Multi-camera field map positioningUnify site map coordinates, cross-region trajectories and eventsGround calibration, overlap area, time synchronization and business rules

Applicable scenarios and key points in program design

Typical application scenarios

It is suitable for factory passages, warehousing operation areas, key areas of the park, experimental spaces and robot collaboration areas covered by fixed cameras. It can be used for personnel distribution, area entry, trajectory playback and event linkage.

Adaptation to complex environments

For areas with dense people, occlusion, backlighting, nighttime, reflective ground or camera overlapping areas, the solution is adapted through on-site samples, camera position planning, image parameters and trajectory correlation strategies.

Multi-layer space processing

Steps, slopes, multi-layer platforms and areas with significant height changes use zone calibration, multi-plane models or three-dimensional positioning methods to keep the coordinate model consistent with the on-site spatial structure.

Identity and Privacy by Design

The platform takes personnel location and trajectory status as its core output; when real-name association is required, it can be combined with work badges, authorized identity systems or other compliance methods, and data permissions, retention periods and operation logs can be configured.

Extend the architecture

How to scale from an 8-way reference configuration to more cameras

direct answer

This case uses an 8-channel fixed network camera as a reference configuration, and the platform is organized by camera registration, independent collection tasks, calibration records, and unified interfaces. When adding a new camera, you can use the existing site map, trajectory and event data model, complete channel configuration, resource allocation, single-channel calibration and overlapping area association before accessing. The actual number of channels that can be carried is determined by video encoding, network bandwidth, decoding and model load, CPU/GPU resources, storage strategy and refresh cycle. Capacity accounting and target scale acceptance need to be completed before expansion.

Configurable camera registration

Use camera_id to manage RTSP address, encoding parameters, installation points, coverage area, start and stop status and calibration version. New channels are included in the platform through configuration.

Independent collection and state isolation

Each video channel uses independent acquisition tasks, frame buffers and running status; after adding channels, the acquisition, decoding and inference tasks can be split according to processes or computing nodes.

Camera-by-camera calibration and region association

The new camera independently maintains ground mapping and reviews spatial relationships in overlapping areas, allowing new channels to enter unified site map coordinates and trajectory association links.

Unified data and business interface

Position, trajectory, events and camera status use consistent data objects, and the business system receives the results through a unified REST or WebSocket interface.

Resource and acceptance check before capacity expansion

Check itemsAccounting basisExpansion action
Internet and VideoSingle channel code rate, resolution, frame rate, key frame interval and number of channelsReserve link margin, configure sub-streams and reconnection strategies
Decoding and reasoningCoding format, model calculation amount, processing cycle and concurrent tasksAdd workers, processes or computing nodes and reconfirm the scheduling cycle
CPU, GPU and memorySingle channel resource occupancy, peak concurrency and caching strategyAllocate resources to target scale and perform stress and stability verification
Storage and dataRecording strategy, track retention period, event volume and log volumeAdjust storage capacity, retention rules and archiving policies
Calibration and correlationAdd new seats, coverage boundaries, overlapping areas and on-site spaceComplete camera-by-camera calibration, overlap area review and expansion configuration acceptance
Implementation method

Six steps from field data to project delivery

1. Requirements and site modelingConfirm the site map scale, coordinate origin, positioning area, prohibited area, target type, trajectory and alarm rules.
2. Video link configurationConfirm RTSP encoding, resolution, frame rate, key frame interval, clock synchronization, reconnection policy and network resources.
3. Seat and coverage registrationRegister installation points, heights, orientations and overlap relationships to form blind spots, occlusions and multi-plane area configurations.
4. Ground calibrationCollect scattered ground points for each camera, generate Homography, and review coordinate mapping through independent points and overlapping areas.
5. Detection, fusion and joint debuggingCombined with live samples configured for person detection, foot points, candidate clustering, outlier filtering, trajectory smoothing and cross-camera status.
6. Solution delivery and acceptanceConfirm the route, samples, lighting, number of personnel and statistical caliber based on project indicators, and complete positioning, trajectory, event and interface acceptance.
Interface and data

What can the platform output to the business system?

The platform uses FastAPI backend and Web console to support status query, real-time data update and system integration. Project docking can determine fields, authentication, timestamps, coordinate units, status enumeration and data retention policies by project.

data objectTypical fieldsbusiness purpose
Camera operating statusOnline status, frame age, number of reconnections, status codeVideo link management and operation and maintenance alarms
personnel observationSource camera, detection frame, foot points, timestamp, association statusSingle-channel observation review and positioning data traceability
Venue map locationMap X/Y, coordinate unit, calibration version, source camera setRegional judgment, map display and upper-level rule calculation
Trajectories and eventsTrack points, entry/exit, stay, boundary crossing and alarm statusTrack playback, statistics and business system linkage
Project input list:Site plan and scale, camera model and sub-stream parameters, installation location and height, sample video, target and occlusion conditions, expected error and refresh cycle, alarm rules, interface protocols, server environment, and data and privacy requirements.

Platform core capabilities

  • Multi-channel RTSP video configured access and camera status management. This case uses 8 channels as the reference configuration.
  • Person detection, single-pass tracking, ground coordinate mapping and cross-camera correlation.
  • Field map location, track playback, regional events and alarm linkage.
  • FastAPI, REST and WebSocket business interfaces.

Project deliverables

The scope of delivery can include back-end services, Web operation console, site map and camera configuration, calibration tools, business interfaces and project documents, and the channel size, computing resources, positioning accuracy, refresh cycle, data permissions and acceptance criteria will be determined based on on-site needs.