Version 2023.3

Adaptive Traffic Control

Adaptive traffic control enables you to interface with hardware devices like traffic controllers using dry contacts. Use cases and benefits:

• 'Smart Prio' System: Prioritise certain traffic classes and ensure fluid traffic behavior in real-time (e.g. pedestrians, bicyclists, e-scooters, heavy traffic).

• Simplify infrastructure maintenance: Replace multiple induction loops with a single Swarm Perception Box. The installation does not require excavation work, and reduces the maintenance effort/costs.

To get started, check out the configuration steps.

Device Health - The healthiness of your device at a glance

The device health metrics allow you to provide evidence for reliable and continuous data collection and to self-diagnose common problems (e.g. stable network connectivity/power supply/camera connection/processing speed,... )

The following metrics are supported:

• Device Uptime, Status, Restarts, Available Disk Space

• Device Temperature (support for P101/OP101/Jetson Nano)

• LTE Modem Traffic, Signal Strength and Reconnects (support for OP100/OP101)

• Camera status and Camera processing speed (FPS)

• Generated and Pending events

Model Improvements

Traffic & Parking (Standard and Accuracy+)

We replaced the model Parking (Single-/Multispace) with the model Traffic & Parking (Accuracy+). The model is tuned for accuracy while the processing speed (measured in FPS) is reduced. Ideally for use cases with less dynamic objects like Adaptive Traffic Control and Parking Insights (Single- and Multispace).

We improved the classification accuracy for both variants Standard and Accuracy+, especially for the classes: articulated truck, truck with trailer and car with trailer.

People Head

We fixed the class output, the event class output is now person (vs. previously head). Affected by this change are the devices P101/OP101/VPX. Not affected are the devices P100/OP100.

We improved the accuracy due to higher resolution processing.

People Full body

We improved the accuracy due to higher resolution processing.

Parking Fisheye

The model has been deprecated and will not be updated in the future. The model will continue to work as long as there are devices using it. Please consider switching to the Traffic & Parking model.

Device Metadata

Organize devices and generate events containing pre-defined device metadata. You can define up to five key and value pairs for a device. The keys and values can be freely defined by your choice, we support autocompletion for keys to avoid nasty typos.

Once defined, metadata allows you to filter the list of devices by metadata values and the generated events will include the pre-defined metadata for further processing by your application. For details have a look at the event schema.

Track Calibration History

Track calibration overlays the last 100 object tracks on a current camera frame. This enables you to position event triggers (e.g. counting lines) for optimal results. We extend the functionality with a history over the last 24 hours.

With track calibration history enabled you will be able to access the track calibration for every hour of the past 24 hours.

Device Update

You decide when your devices get an update. Please update soon in order to use the latest features (e.g. Adaptive Traffic Control, Track Calibration History) and to benefit from quality improvements (e.g. Model updates), bug fixes and security updates.

We will automatically update by 13.12.23.

Other improvements

• Control Center - User Management - Invite users and manage permission of existing users

• Control Center - MQTT client id can be defined for custom MQTT brokers

• Data Analytics - Speed-up of Origin-Destination widgets

• Data Analytics - Fix widget visualisation of the chord diagram (OD) and line charts

• Under some conditions an ROI in combination with a rule did not trigger events