Smart Cities
AI-powered monitoring for safer, smarter communities
Smart cities face growing challenges in maintaining public safety, managing increasing traffic congestion, protecting critical infrastructure, responding rapidly to incidents, and monitoring large public spaces with limited resources. Broadsecure addresses these challenges by transforming existing camera networks into an intelligent,
AI-driven surveillance platform that delivers real-time detection of people, vehicles, and objects, identifies suspicious or abnormal behaviour, analyses pedestrian and traffic movement patterns, and generates instant alerts for operators. With edge AI processing, cloud-based analytics, and seamless integration with existing IP cameras, Broadsecure enables councils and city operators to improve situational awareness, optimise city operations, enhance emergency response, and make faster, data-driven decisions while reducing bandwidth usage and maintaining strong data privacy.
Public Safety
Smart cities face increasing public safety challenges, including rising population density, large public gatherings, traffic incidents, anti-social behaviour, crime, and the need to respond rapidly to emergencies with limited resources. Broadsecure leverages AI-powered video analytics to provide real-time detection, behavioural analysis, and instant alerts, enabling city operators and emergency services to proactively identify threats, improve situational awareness, and enhance community safety across public spaces.
Crowd density and crowd surge monitoring
Identify overcrowding in public spaces, panic movement, or unsafe crowd build-up during events or transport peaks
Fight / assault detection
Monitor and detect physical altercations in parks, train stations, transport hubs, malls, and nightlife areas, allowing security and response teams to promptly intervene.
Weapon-risk behaviour detection
Flag threatening behaviour or visible weapon–like objects for rapid escalation
Abandoned object detection
Detect unattended bags, trolleys, bins, or suspicious items in public spaces
Intrusion / restricted-area breach
Detect after hour or suspicious entry into closed parks, rooftops, rail corridors, reservoirs, construction zones, or service compounds
Loitering in high-risk zones
Detect prolonged presence near schools, substations, depots, playgrounds, or restricted facilities
Person-down / welfare checks
Identify people lying motionless or appearing distressed in streets, parks, toilets, and transport hubs
Slip, trip, and fall detection
Detect people falling in public spaces, stations, footpaths, and civic areas
Did you know?
1297
road deaths in 2024
134
road deaths in 2025 in Australia
11.5%
in 2024
1.19
million people die on the world's roads every year
Road Safety
Smart cities face growing road safety challenges, including increasing traffic congestion, speeding, distracted driving, pedestrian and cyclist safety, intersection collisions, and the need to respond quickly to accidents while maintaining efficient traffic flow. Broadsecure uses AI-powered video analytics to monitor road networks in real time, detect unsafe driving behaviours and traffic incidents, identify hazards, and deliver instant alerts, enabling traffic operators and emergency services to improve road safety, reduce response times, and optimise transport operations.
Cyclist and micromobility conflict detection
Identify unsafe interactions involving bike users, e-scooters, pedestrians, and cars
Footpath / bike lane obstruction detection
Detect parked vehicles, bins, debris, or works blocking accessible movement paths
Wrong-way movement detection
Detect vehicles, bikes, or scooters moving against moving traffic directions in one-way streets or shared paths
Hoon driving detection
Detect burnouts, dangerous acceleration, repeated speeding, and risky vehicle behaviour in hotspot areas
Near-miss detection at intersections
Detect vehicle-vehicle, vehicle-cyclist, and vehicle-pedestrian close calls before serious crashes happen, and generate trend reports.
Pedestrian crossing compliance
Detect vehicles failing to stop at crossings and track risky crossing patterns
School-zone safety monitoring
Detect unsafe drop-off behaviour, speeding, illegal parking, and pedestrian conflict around schools
Red-light and dangerous intersection behaviour
Detect red-light running, illegal turns, failure to give way, and risky crossing behaviour
Community Safety
Smart cities face increasing community safety challenges, including anti-social behaviour, vandalism, theft, illegal dumping, overcrowding in public spaces, and the need to monitor large urban environments with limited resources. Broadsecure uses AI-powered video analytics to detect suspicious activities, monitor crowd movement, identify potential threats, and deliver real-time alerts, enabling councils, law enforcement, and city operators to improve situational awareness, respond more quickly to incidents, and create safer, more resilient communities.
After-hours activity anomalies
Identify unusual movement patterns in public buildings, libraries, sports precincts, depots, and car parks
Antisocial behaviour detection
Detect disruptive, aggressive, or disorderly behaviour in public areas
Public drinking / risky gathering escalation
Detect behaviours linked to escalating disorders in known hotspots
Vandalism / graffiti-in-progress detection
Detect tagging, deliberate damage, destruction, or tampering with public assets
Illegal dumping detection
Detect dumped waste, hard rubbish, and unauthorised disposal in public places
Theft from public assets
Detect theft or tampering involving cables, solar lights, signage, EV chargers, public art, or irrigation assets
Arson / fire-start behaviour detection
Identify suspicious fire-lighting behaviour in bins, parks, bushland edges, or vacant sites
Environment & Amenities Monitoring
Smart cities face ongoing challenges in monitoring public environments and amenities, including illegal dumping, vandalism, graffiti, overflowing bins, park and facility misuse, environmental hazards, and maintaining clean, safe public spaces with limited operational resources. Broadsecure leverages AI-powered video analytics to continuously monitor urban environments, detect anomalies and incidents in real time, and generate instant alerts, enabling councils and city operators to proactively protect public assets, improve service delivery, and maintain safer, cleaner, and more sustainable communities.
Graffiti and asset defacement monitoring
Detect newly defaced walls, signs, bus shelters, or public toilets
Littering detection
Identify littering events in streets, parks, waterways, and beaches
Overflowing bin detection
Detect full bins, overflow, or surrounding litter so crews can respond before complaints rise
Park and playground misuse
Detect unsafe or prohibited activity in playgrounds, sports courts, and recreation areas
Tree fall / debris hazard detection
Detect fallen branches, storm debris, or obstructions on roads and paths
Waterway pollution / dumping detection
Detect rubbish accumulation, illegal discharge, or contamination signs in drains, creeks, and canals
Traffic & Mobility
Smart cities face increasing traffic and mobility challenges, including congestion, inefficient traffic flow, public transport delays, growing demand for active transport, incidents that disrupt road networks, and the need to balance the movement of vehicles, pedestrians, and cyclists. Broadsecure harnesses AI-powered video analytics to provide real-time traffic monitoring, incident detection, vehicle and pedestrian tracking, and intelligent alerts, enabling city operators to optimise traffic flow, reduce congestion, improve transport efficiency, and support safer, more connected urban mobility.
Bus-lane / transit-lane misuse
Detect unauthorised vehicles in priority lanes
Congestion hotspot detection
Detect developing congestion on roads such as car accidents and trigger operational responses
Queue spillback monitoring
Detect queues backing into intersections, crossings, or rail crossings. Develop traffic trends overtime to help councils reassess traffic flow management
Double-parking and loading obstruction
Detect vehicles blocking lanes, tram corridors, bus lanes, or service access and trigger operational response teams
Illegal parking detection
Detect parking in no-stopping zones, bus zones, loading zones, clearways, and accessible bays
Kerbside activity monitoring
Monitor pick-up, delivery, rideshare, and loading behaviour to improve kerbside design
Public Infrastructure
Smart cities face increasing challenges in protecting public infrastructure, including vandalism, unauthorised access, theft, asset damage, and the need to monitor critical facilities and utilities across large geographic areas with limited resources. Broadsecure leverages AI-powered video analytics to provide continuous monitoring, detect suspicious activity in real time, and generate instant alerts, enabling councils and infrastructure operators to safeguard public assets, improve operational resilience, reduce maintenance costs, and respond rapidly to emerging threats.
Bus shelter / street furniture damage detection
Identify broken glass, damaged seating, vandalised furniture, or hazardous defects
Fence / barrier breach detection
Detect damaged fencing or barriers around drainage, playgrounds, rail, and worksites
Footpath trip-hazard detection
Detect cracks, uplift, surface failure, and accessibility hazards
Pothole / road defect detection
Detect pavement deterioration before it becomes a safety issue
Signage / traffic signal fault detection
Detect damaged signs, obscured signs, or malfunctioning signals
Streetlight outage detection
Detect failed lighting in roads, laneways, parks, and public spaces
Emergency Response
Smart cities face significant challenges in coordinating emergency response teams and managing public events, including rapidly detecting incidents, monitoring large crowds, maintaining situational awareness across multiple locations, coordinating first responders, and ensuring public safety during emergencies and major gatherings. Broadsecure harnesses AI-powered video analytics to deliver real-time incident detection, crowd monitoring, behavioural analysis, and instant alerts, enabling emergency services, event organisers, and city operators to respond faster, allocate resources more effectively, and improve the safety and resilience of communities.
Emergency vehicle path clearing support
Detect blocked routes or traffic conditions affecting emergency response
Flooded road / path detection
Detect water over roads, underpasses, shared paths, and stormwater trouble points
Smoke / fire detection in public spaces
Detect smoke, flame, or unusual heat signatures early
Storm damage rapid assessment
Detect fallen trees, damaged poles, blocked drains, and debris after storms
Did you know?
73%
of households own at least one pet, increasing the need for effective animal management in public spaces.
5000+
dog attacks are reported to NSW councils.
15000+
insurance claims are made in Australia following collisions with animals, with kangaroos accounting for most incidents.
40%
of Australian drivers admit they ignore wildlife warning signs, increasing the risk of animal collisions.
Animal/Local Laws
Smart cities face ongoing challenges in enforcing local animal laws, including monitoring off-leash areas, responding to reports of stray or dangerous animals, ensuring pet owners comply with regulations, and managing animal-related incidents across large public spaces with limited ranger resources. Broadsecure uses AI-powered video analytics to monitor parks, streets, and shared public areas, detect animal-related events in real time, and provide instant alerts, enabling councils and local authorities to improve compliance, enhance community safety, and respond more efficiently to animal management issues.
Dog off-leash / prohibited-area monitoring
Detect breaches in animal-sensitive parks, playgrounds, or foreshore zones
Stray animal detection
Detect loose dogs, livestock, or wildlife entering roads or urban spaces
Wildlife road-risk detection
Detect kangaroos, livestock, or other animals near roads for warnings and mitigation
Public Health/Social Support
Heat-stress crowd risk monitoring
Detect overcrowding or prolonged exposure in heat-prone public areas
Public toilet misuse / distress detection
Detect vandalism, long occupancy anomalies, or medical distress indicators
Rough sleeping / vulnerable person welfare detection
Identify repeated welfare-risk patterns so outreach teams can respond appropriately
Facilities/ Assets
Depot safety monitoring
Detect unsafe vehicle-pedestrian interactions and restricted-area breaches in council depots
Solar / EV / smart asset tampering
Detect damage or tampering to EV chargers, batteries, smart poles, and solar assets
Waste facility misuse detection
Detect contamination, illegal access, dangerous disposal, or after-hours dumping at transfer stations
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