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  • SWARM Documentation
  • What's new?
    • Version 2024.2
    • Version 2024.1
    • Version 2023.3
      • Update 1
  • SWARM in a nutshell
    • SWARM Perception Platform Overview
  • Quick start guide
    • P101, P401 or OP101
      • P101 - Perception Box
      • P401 - Perception Box
      • OP101AC - Outdoor Perception Box
      • OP101DC - Outdoor Perception Box
    • Virtual Perception Box
      • System requirements
      • Install VPX Agent on NVIDIA Jetson (Jetpack 4.6)
      • Install VPX Agent on NVIDIA Jetson (Jetpack 5.1.2)
      • Install VPX Agent on X86/NVIDIA Server
  • Solution areas
    • Traffic Insights
      • Set-up Traffic Counting
      • Set-up Traffic Counting with speed estimates
      • Set-up Intersection Insights
    • Parking Insights
      • Set-up Barrierless Parking
      • Set-up Barrierless Parking with ANPR
        • Set-up guide and recommendations - ANPR
      • Set-up Single Space/Multi Space Parking
        • Standard examples
    • Advanced Traffic Insights
      • Set-up Adaptive Traffic Control
      • Set-up Journey Time & Traffic Flow
        • Set-up guide - Installation
        • Technical concept
      • Set-up Queue Length Detection
    • People Entry/Exit counting
  • SWARM Control Center
    • Devices
      • Camera & Device Monitoring
      • Camera Configuration
        • Scenario Configuration
          • Models
          • Calibration support
          • Camera settings
        • Rule Engine
          • Use Case Examples for Rule Engine
      • Device Health
    • Data Analytics
      • Creation and organization of dashboards
      • Dashboard overview & Widget creation
        • Traffic Scenario
        • Parking Scenario
        • Generic Scenario
    • Data Integration
      • Data Analytics API (REST API)
      • Raw event data with Custom MQTT server
      • SCC API
    • Administration
      • Monitoring Alerts
      • License Management
      • User Management
  • Test & Performance measurements
    • Benchmarks
      • How do we measure Performance?
    • White paper for use cases
      • Traffic Counting
      • Barrierless Parking and ANRP
  • Useful knowledge
    • 🚒Troubleshooting Guidelines
    • Network Requirements
    • Browser Compatibility SCC
    • Our Object Classes
    • Number Plate Area Code
  • Guidelines
    • How to access the debug output?
    • How to use Azure IotHub as Custom Broker
    • VPX
      • Upgrade IotEdge from 1.1 to 1.4
      • Upgrade Jetpack from 4.4.1 to 4.6.0
  • Getting Support
    • Get in touch
    • FAQs
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  • Control Center
  • Device
  • Models
  • Tracker

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  1. What's new?

Version 2024.1

Release Date: 28.02.2024

PreviousVersion 2024.2NextVersion 2023.3

Last updated 1 year ago

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Control Center

  • Device Updates

    • Select individual devices for an update, e.g. this allows staged rollout site by site

    • Schedule the update, e.g. 5am to reduce the production impact to a minimum

  • Device Camera View

    • Auto refresh the camera preview for a convenient calibration for up to 30seconds

    • The stream automatically expands when one stream is configured

    • Event triggers and focus zone is now visible in every camera preview

    • Show or hide the event triggers/focus area

    • The focus area is not hiding event triggers anymore

  • The MQTT QoS level (0 - at most once, 1 - at least once, 2 -exactly once) for customer broker is configurable. Higher levels of QoS are more reliable, but involve higher latency and have higher bandwidth requirements.

  • Side Menu

    • Devices is the first item in the side menu. The last selected side menu item will be remembered locally in your browser cache.

  • API

    • Potentially breaking change: Authentication requests are throttled, limit: 100/hour. Note: The number of API calls for the Control Center is not throttled.

    • Potentially breaking change: Serial number format changed to string

Device

The device improvements are available once you deploy the update for your organisations/tenants.

Models

  • The detection accuracy for Traffic&Parking (Standard and Accuracy+) has been improved, in particular the classes: car with trailer, trucks (single unit, articulated, with trailer) and bicycle.

Tracker

We improve the data quality by enhancing the tracking system for:

  • Non-linear movement (e.g. vehicles in roundabouts)

  • Short occlusions (e.g. vehicles occluded by poles or signs)

  • Track hijacking (one or more objects share the same track) when used in combination with the focus area

  • Calibration visualisation

    • Tracks are coloured in blue when they are too small to classify.

    • Long tracks will not be cut-off

This is not a marketing video, it shows the engine overlay we ship with 2024.1. No hand tuning has been performed.

Device Update size (2023.3 U1 -> 2024.1):

  • P101/OP101 & NVIDIA Jetson devices: 150MB

  • P100/OP100: 150MB

9MB
2024.1-tracker.mp4
Open to see a video recording of the enhanced tracking system.
Showcase of the enhanced tracking system. Note: This camera placement is not recommend for production.