Now Wireless AI/Bluetooth Full Integration with Senseview

• Count and Classify: Pedestrians, Cyclists, Vehicles

• Track: Pedestrians, Cycle, Vehicles

• Overhead Detectors: Stop Line Detection, Road Loops, Remote Loops. A Virtual Loop requires no road works.

• Turn Analysis: Monitor where Peds, Cyclists and Vehicles travel

• Start End Journey: Where do Pedestrians, Cyclists and Vehicles start their Journey

• Parking: Car Parks, On Street Count and record for billing and management

• ANPR: Provide Journey Time, Turn Analysis

• Queue Detection: Provide Q management

• Low Emission Zones: Integrate into DVLC systems to check vehicles for Pollution and interface to billing

• Road User charging: Provide Information for billing

• Air Quality: to actual and predicted pollution types and adjust traffic based on this.

• Gather and present. detailed Information for insightful policy decisions and road design

AI Traffic

Artificial Intelligence

• AI power is measured in TOPS (Trillions of Operations per Second)

• AI-40 and above come with all applications limited only by TOPS rating. Parking applications that use lower frame rates can handle more Cameras

• AI-250 is designed for control rooms; it may be used on-street but requires a survey

• Loop Interface modules

Virtual Loops

Data-driven traffic light management

• Traditional loops requiring road works are replaced by AI, sensors and a camera

• Resulting video analytics allows vehicles to be counted and classified

• Identifies traffic hotspots and automatically triggers mitigation measures

• The AI is flexible and can be trained to identify pedestrians and 17 vehicle types

Virtual Cycle Lanes

Giving the proper priority at the right time

• Cycle lanes are most difficult in side streets

• Existing technology doesn’t help - it either closes the street or risks cyclists’ safety.

• Our video analytics allow cycles to be detected and given a green wave across junctions.

• Prevents accidents to improve city safety records

• Allows roads to remain open

World-first solution

• First pedestrian crossing lights that change without being touched

• It uses AI and machine learning to predict behaviour by identifying travel patterns of road crossers and working out their intentions.

• Keeps traffic flows moving rather than stop/starting vehicles unnecessarily

• Helps tackle climate change, meet air quality targets and keeps pedestrians safe

• Highly cost-effective as no expensive road works are required for installation

Pedestrians

Functions Available for Pedestrians

• Counting Pedestrians

• Tracking Pedestrians Using Digital Signature

• Contactless Crossings using Video Analytics

• Management of Central Islands on Pedestrian Crossings

Cycles

AI Functions for Cyclists

• Counting Cyclists

• Tracking Cyclists using Digital Signature

• Virtual Loop for Cyclists – Seamless traffic management integration

• Virtual Cycle Lanes – Cycling green waves for safe routing

Vehicles

AI Functions for Vehicles

• Count Vehicles

• Classify Vehicles

• Virtual loop - Seamless Traffic Light System Integration

• Speed Detection

• Bus Priority - Detect Local buses and give them priority

• Manage Air Quality

Parking

Parking

• Counting free spaces in a row of car parking

• Alerts on Car Entering Space

• Alert on Car leaving space

• Off-Street Parking and Car Parks

• Car Staying past limit alert

• Photograph and ANPR options

• API for Billing Engine

Tracking

Ai based Tracking

• Tracking across multiple cameras - ribbons

• Turn analysis on junctions

• Pedestrian, Cycling and vehicle tracking with Digital signature

• Rat Run detection

Road User Charging

& Low Emission Zones

AI-driven Charging

• Digital Signature monitoring

• Beacon Monitoring

• ANPR capture

• Interface to Billing Engine

• ANPR Pre and Post-processing

Traffic Monitoring

Intelligent information for traffic managers

• Slow Traffic Alert

• Stopped Traffic Alert

• CAV Interfacing

• Incident Detection

• Dynamic Area of Interest alerting

Enforcement

AI-DRIVEN ENFORCEMENT

• Yellow Box

• Illegal Turn

• Bus Lane

• Parking

• One Way Street

• Road User Charging

• Pollution Detection

• API for Billing Engine

• ANPR option

Weather and Pollution

Environmental Analysis

• Pollution Tracking and Prediction

• Rain Measurement with a low cost sensor

• Local Weather Station alerts

• Mist Detections

• Standing Water Detection

• Flood Warnings

Where do vehicles go?

• Video analytics gives detailed turn analysis.

• Digital signatures tell us where they are going and where they come from

• AI analysis of collected data provides detailed insights to road user usage

• Capable of showing devices’ journeys throughout the whole day

• Can identify non-stand vehicle routing

• An option to introduce AI is to replace something that is required often: Loops

• The new ARTMS standard will need AI to input to UTC to give more information to OTU

• Traditional loops requiring road works are replaced by AI, sensors and a camera

• Resulting video analytics allows vehicles to be counted and classified

• The AI is flexible and can be trained to identify pedestrians and vehicle types

• Can you provide all the features of the following slides

Queue Detection

Any Camera can be used to have a selected area used to detect if a Q has been formed

Detects Q’s

There is no Movement of a group of cars in the box

Slow Movement cars in the box

Triggers Alert Email or Loop Pulse/State

Turn Analysis

Cars at Junctions can be Counted by which direction they left the junction

• Detects object in one box moving to another Box.

• Count of each box plus pairs of boxes

• So we will get count 2 and 3 as well as 2/3 count

• Provides Journey Time as another option added to Bluetooth

• Provides all functions now associated with Bluetooth

• Number Plates can be forwarded to DVLA to extract vehicle Classification and Pollution Rating

• ANPR allows Classification Extensions

• Turn Analysis and Journey Time

Bus and Taxi

AI can detect a bus and give a green wave whilst logging cars in bus lanes and bus stops.

• Provides Journey Time using ANPR or Bluetooth

• Special Bluetooth Buttons recognise temporary buses, such as football coaches.

• UTC and UTMC interface

• Bus and Bust Stop detection to delay traffic light change

Pollution Prediction

• AI-powered pollution analysis and monitoring

• We can monitor and anticipate pollution build-up with 99% accuracy to trigger real-time remediation

• AI calibration is also used to ensure long-life pollution sensors stay accurate.

• Used by local authorities to make their cities cleaner and smarter

Car Vehicle Motion Tracking

Graphical Display of Vehicles through a Junction - In Beta now

• Cars’ movement through frame tracked and vectors showing

• It can be displayed as a trace on the camera image

• Demand Lines

• Define the number of boxes; each box has many cars

• AI counts the Vehicles and alerts when a new Vehicle enters or leaves the box

• Multiple Boxes on different cameras are added to create a CAR PARK and total aggregated

• ANPR Supported

On Street Parking

Ilegal parking, Parking off street

• Check when the vehicle parks with ANPR and the time

• Notes when leaves with time

• Sends alert if overstays time

• Photo Taken

• Allows multiple AI models on the same AI

• Each AI Pulls a Video Stream

• Models are independent and allow for unique models to be developed for Emergency Vehicles/Taxis.

• It can be used for Bus Lane enforcement with the simple model, while complex model is ANPR and Classifications.

• Video Analytics gives detailed turn analysis.

• Digital Signatures tell us where they came from and where they are going

• AI analysis of collected data to provide in-detail insights into road user usage

• Capable of showing device journeys throughout the whole day.

• Can quickly identify non-standard vehicle routing

• Easy data export

Virtual Cycle Lanes

Giving the right priority at the right time

• Cycle lanes are most difficult in side streets

• Existing technology doesn’t help - it either closes the street or risks cyclists’ safety.

• Our video analytics allow cycles to be detected and given a green wave across junctions.

• Prevents accidents to improve city safety records

• Allows roads to remain open

• First pedestrian crossing lights that change without being touched

• It uses AI and machine learning to predict behaviour by identifying travel patterns of road crossers and working out their intentions.

• Keeps traffic flows moving rather than stop starting vehicles unnecessarily

• Helps tackle climate change, meet air quality targets and keeps pedestrians safe

• Highly cost-effective as no expensive road works are required for installation

• Where there is an island in the middle Camera can count the number of people on the Island