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Nara · AI models

AI models bundled with Nara

Nara’s model manager ships more than 60 model families, downloaded and checksum-verified, then loaded on demand. Custom models from Reva deploy with no configuration, third-party ONNX models run where compatible nodes exist, and promptable models detect or segment objects described in words, with no training.

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22 capabilities · model pack 261018 · example models for technical readers

  1. 01

    General object detection

    Detects common objects such as people, vehicles, animals, bags and phones.

    Used in Item and pallet counting, Robot and AMR orchestration, Traffic monitoring, Traffic violation detection, Intrusion detection

    General object detection pack

  2. 02

    People detection

    PeopleNet, RT-DETRv4

  3. 03

    Object tracking and analytics

    Tracks objects across frames for line-crossing counts, zone counts, dwell time, heatmaps and abandoned objects.

    Used in Item and pallet counting, Danger zone monitoring, People counting, Heatmaps and dwell time, Queue monitoring, Traffic monitoring, Traffic violation detection, Intrusion detection

    Built-in tracker

  4. 04

    Person re-identification (ReID)

    Recognises the same person across cameras and over time, without faces.

    Used in People counting, Staff presence monitoring, Intrusion detection

    FastReID, PersonViT, ReIdentificationNet

  5. 05

    Face detection and recognition

    Finds faces and matches them against a known-face gallery.

    Used in Face recognition access control

    RetinaFace, SCRFD, YuNet, ArcFace, EdgeFace, SFace

  6. 06

    Face anti-spoofing and quality

    Rejects photos and screens, and scores face image quality.

    Used in Face recognition access control

    MiniFASNetV2, eDifFIQA

  7. 07

    Facial expression

    Classifies expressions such as happy, sad, angry and surprised.

    Used in Visitor demographics

    AffectNet-7, OpenCV FER

  8. 08

    Age and gender estimation

    Estimates demographics for anonymous analytics.

    Used in Visitor demographics

    MiVOLO, UniFace

  9. 09

    Pose estimation

    Body keypoints for posture and gesture.

    Used in Fall detection

    RTMPose, RTMO, MoveNet

  10. 10

    Head pose and gaze

    Where a person is looking, for attention and engagement.

    Used in Heatmaps and dwell time

    6DRepNet360, UniFace HeadPose

  11. 11

    Action and behaviour recognition

    Falls, fights or violence, and other actions from pose or video.

    Used in Fall detection

    ST-GCN Fall, PoseC3D, SlowFast, VideoMAE

  12. 12

    Crowd counting

    Estimates people counts in dense crowds.

    PET crowd point

  13. 13

    Fire and smoke detection

    Detects flames and smoke in camera views.

    Used in Fire and smoke detection

    Fire/smoke detection pack

  14. 14

    PPE detection

    Helmets, vests, masks, hairnets, gloves, coats and other PPE on each person.

    Used in PPE detection, Face recognition access control

    Nabrio PPE models

  15. 15

    Weapon detection

    Firearms and knives, with tracking of the people involved.

    Nabrio weapon models

  16. 16

    Vehicle make and model recognition

    Identifies a car’s brand and model.

    Used in Licence plate recognition

    Nabrio vehicle models

  17. 17

    Licence plate detection

    Finds number plates for recognition.

    Used in Traffic violation detection, Licence plate recognition

    Number plate detection pack

  18. 18

    OCR (text reading)

    PP-OCRv5 / v6, CRNN, DB

  19. 19

    Barcode and QR code reading

    Built-in code reader

  20. 20

    Promptable detection and segmentation

    Finds or outlines anything described in words, with no training.

    LocateAnything 3B, SAM 3.1

  21. 21

    Image similarity and matching

    Compares images or finds a reference object.

    DINOv3, LightGlue

  22. 22

    AI decisions (language and vision-language)

    Answers custom questions about text, images and video, such as “Is the work area tidy?”

    Decider, OmniJev

[ 02 ]Beyond deep learning

Classic vision tools

Not every task needs deep learning. Nara also includes colour detection and thresholds, circle and contour detection, feature matching, crop, rotate, perspective correction, brightness, contrast and white balance.

[ 03 ]Node catalogue

About 160 nodes in Nara 2.0

Grouped as in the editor. The full reference is on help.nabrio.com.

  • TriggersOn deploy, time interval, recurring schedule, dashboard action, webhook, WebSocket message
  • I/OIP camera (single and multi), Basler, webcam, media files; Modbus read/write; MQTT publish; HTTP request; TCP/IP client; email; Microsoft Teams; Telegram; Patlite and Primus tower lights; export image or text
  • Vision / AIObject, people, face, pose, fire, plate, OCR and code nodes; trackers with line and zone counters, dwell time, heatmap and abandoned-object detection; ReID; promptable detection and segmentation; auto-labelling
  • ProcessMaths, rounding, moving-window statistics, JSON and XML parsing, arrays and objects, text templates, time deltas, the AI Decision node
  • OperationIf, switch/case, for and while loops, count-to, delay, stop, functions (series or parallel), procedure order, Python script
  • DataVariables and arrays, database tables (create, read, filter, insert, modify, delete)

Advanced industrial nodes, such as industrial cameras, PLC and robot connectivity, are Professional Nodes, and their availability depends on your tier.

Full node reference

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