Boarding. Alighting. Occupancy. Route intelligence.
AI video analytics for public transport and bus fleets, from onboard events to centralized fleet insight.
Loading recorded detections…
Rule: Passenger visibility · 0.75s confirmation
Recorded elevated view · Person detections and example review alerts.
Recorded demonstration with synchronized detections and example alert rules. Review the event details to see what this camera view can establish.
Every stop adds context.
Combine boarding and alighting events with route, stop, timestamp and device status. Explore the simulation to see how counts shape an occupancy estimate.
Doorway obstruction, unsafe crossing, supported fall detection and driver-monitoring modules require scenario-specific validation and configuration.
Journey in progress
Start with the operational problem.
Fleet teams need a consistent view of passenger demand, doorway safety and device health across intermittent connectivity.
The EyeSpot approach
Process supported events onboard. Synchronize metadata and selected clips when connectivity returns, linking each event to bus, route, stop and time.
What bus video analytics brings into view.
Boarding and alighting
Estimated occupancy
GPS correlation
Stop and route analytics
Doorway obstruction
Searchable incident clips
Device health
Remote configuration
Offline edge processing
Cloud synchronization
Crowd detection
Dwell-time analysis
Multi-bus management
Route history
Passenger flow
Unsafe crossing events
A clear path from capture to action.
Process supported events onboard. Synchronize metadata and selected clips when connectivity returns, linking each event to bus, route, stop and time.
Bus cameras
Doorway / cabin cameras
Edge AI device
Onboard edge device
Immediate detection
Immediate event detection
Events and clips
Metadata / selected clips
Cloud fleet platform
Fleet dashboard / APIs
Full raw video does not always need to be transmitted to the cloud. Edge processing can synchronize metadata, events and selected clips after connectivity returns.
Choose around your operating conditions.
Local response, intermittent connectivity and reduced video transfer.
Device capacity, updates and physical access need an operational owner.
Cloud AICentral management, scalable compute and shared reporting.
Stream bandwidth, connectivity, cloud cost and data access require planning.
Hybrid AIFleets, distributed sites and local inference with central insight.
Plan event synchronization, retry behavior and device fleet management.
On-PremiseControlled networks, local retention and sensitive infrastructure.
Your team owns capacity, availability, backups and upgrades.
Private CloudDedicated access controls and centralized enterprise governance.
Networking and infrastructure ownership must be agreed during design.
Deliver context to the people who act.
Assess compatible camera streams and connect configured events to APIs, webhooks and notification workflows.
Measure it where it will run.
Detection quality depends on camera placement, image quality, lighting and occlusion. Validate the configured scenario on representative footage before operational use.
Agree on review workflows, access controls and retention. Analytics support human decisions and do not independently establish safety or regulatory compliance.
See our evidence approachPlanning bus video analytics?
01How should we begin with bus video analytics?+
Process supported events onboard. Synchronize metadata and selected clips when connectivity returns, linking each event to bus, route, stop and time.
02Can we use our existing cameras?+
Compatible IP cameras and recorder streams can be assessed using their available protocols, codec, resolution and network access. Camera suitability is validated during the pilot.
03Does all video have to go to the cloud?+
No. Edge and on-premise processing can keep raw video local while forwarding metadata, events and selected clips according to your configuration.
04How do you validate a detection?+
We define the event, collect representative footage with permission and compare model outputs against manually reviewed examples. Lighting, occlusion and placement are included in the evaluation.
Your cameras already see it. Make it actionable.
Tell us about your environment. Let’s design the right video analytics pilot.
Book a live demo Your cameras. Your requirements. A clear next step.