See Every Intersection. Optimize Every Intersection
Sphere's AI Traffic Monitoring solution deploys computer vision and edge AI at intersections, highway segments, and campus entrances – detecting vehicles, pedestrians, and incidents in real time, optimizing signal timing dynamically, and providing city operations with actionable traffic intelligence. Built on Amazon Rekognition, AWS Sidewalk, and TinyML edge processing.
Organizations around the world trust us
Why This Matters Now
Traffic congestion costs the US $87B annually in lost productivity, fuel waste, and emissions. Most cities are still managing traffic the same way they did 20 years ago – fixed-interval signal timers and human review of camera footage – despite the availability of AI that could transform every intersection into an intelligent node in a city-wide traffic management system.
1. Fixed Signal Timers Create Artificial Congestion
Intersections running on fixed signal timing waste 30–40% of green time during off-peak periods while creating unnecessary queues. AI-adaptive signals eliminate this waste instantly.
2. Incident Detection Depends on Human Attention
Manual camera monitoring means accidents, wrong-way drivers, and road hazards are often detected 10–20 minutes after they occur – extending clearance time, secondary accidents, and emergency response time.
3. Traffic Data Is Collected But Never Analyzed
Most traffic cameras and sensors collect data that is never analyzed for patterns, bottlenecks, or long-term infrastructure planning – turning expensive sensor infrastructure into passive recording devices.
What Sphere Delivers
Sphere overlays AI on your existing camera and sensor infrastructure – no rip-and-replace. Computer vision models run at the edge (on camera modules or junction boxes) detecting vehicles, pedestrians, cyclists, and incidents in real time. Detected events feed a city-wide traffic intelligence platform that optimizes signals dynamically, alerts operators to incidents, and builds the data foundation for long-term infrastructure planning.
Edge Computer Vision (No Cloud Round-Trip)
YOLO-based object detection runs on edge AI modules co-located with cameras – detecting all traffic participants with sub-200ms latency, fully functional during network interruptions.
Adaptive Signal Control
Real-time detection data feeds ML signal optimization algorithms – extending green time for heavy approach directions, enabling emergency vehicle preemption, and reducing pedestrian wait times.
Automated Incident Detection & Alerting
CV models detect accidents, stopped vehicles, wrong-way drivers, debris, and pedestrians in the roadway – triggering automated alerts to dispatch with video clips and location coordinates.
Traffic Pattern Analytics
7-day, 30-day, and annual traffic pattern analysis for infrastructure planning, event traffic management, and sustainability reporting.
Pedestrian & Cyclist Safety
Detection and tracking for vulnerable road users – triggering extended crossing times for slow pedestrians and cyclists, and alerting operators to near-miss events.
Centralized Traffic Operations
Unified city-wide visibility across intersections, corridors, and high-risk zones – combining live camera detections, signal status, incident alerts, congestion heatmaps, and historical trends.
Built On Industry-Leading Technology
Built on AWS services for edge intelligence, video processing, IoT connectivity, and machine learning, Sphere delivers traffic systems that turn existing city infrastructure into a real-time decision layer. This technology stack supports low-latency edge detection, connected sensor and camera data flows, signal optimization models, and operator dashboards that help transportation teams improve safety, response time, and long-term planning.
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Who This Is For
City-wide adaptive signal control and incident detection across the arterial network.
Freeway ramp metering, wrong-way driver detection, and incident management on state highways
Pedestrian-prioritized traffic management for campus intersections and crosswalks.
Truck queue management, gate throughput optimization, and safety monitoring at port facilities.
Employee arrival/departure traffic management and parking guidance for large corporate facilities.
Get Your Free Traffic Intelligence Assessment
Sphere's traffic AI engineers will review your current monitoring infrastructure, identify the highest-value intersections for AI deployment, and deliver a projected ROI analysis and deployment timeline – at no cost.
How It Works
Edge Hardware Install
Install edge AI compute modules on existing camera infrastructure (typically 1–3 hours per intersection).
Deploy Sensors
Install pre-configured sensor nodes across target locations. Connect via Amazon Sidewalk – no gateway setup required.
Cloud Integration
Deploy AWS IoT data pipeline, traffic analytics platform, and operations dashboard.
Go Live & Training
Calibrate object detection models and go live. Train traffic operations staff on dashboard and alert management.
Edge Hardware Install
Install edge AI compute modules on existing camera infrastructure (typically 1–3 hours per intersection).
Deploy Sensors
Install pre-configured sensor nodes across target locations. Connect via Amazon Sidewalk – no gateway setup required.
Cloud Integration
Deploy AWS IoT data pipeline, traffic analytics platform, and operations dashboard.
Go Live & Training
Calibrate object detection models and go live. Train traffic operations staff on dashboard and alert management.
ROI & Business Impact
Average congestion and incident gains
Cities deploying Sphere's AI Traffic Monitoring system report average congestion reductions of 28–34%, incident response time improvements of 35–48%, and $800K–$2.5M in annual productivity, fuel, and emissions benefits.
Signal optimization savings
Signal optimization alone typically saves $200K–$600K annually in fuel and time losses at instrumented intersections.
Hear from
our clientsHear from our clients
Lee Ebreo
VP of Engineering at Credit Ninja
These things would not have been achievable if we did not build our own in-house system and if we did not partner with Sphere to help us achieve our goals.
Selah Ben-Haim
VP of Engineering at Prominence Advisors
Our experience with Sphere and their team has been and continues to be fantastic. We keep throwing new projects at them, and they keep knocking them out of the park (including the rescue of a project that was previously bungled by another vendor).
Ben Crawford
Senior Product Manager at Enova Financial
I would expect to be delighted. It's been a really positive experience, working with Sphere, and I would expect you to have the same.
Mark Friedgan
CEO at CreditNinja
Sphere consistently prioritizes the needs of their clients, demonstrating both agility and teamwork. As an offshore team, they have been an integral part of our organization and we plan to continue growing with them.
René Pfitzner
Co-Founder at Experify
Sphere provided excellent full-stack development manpower to augment our team and help push our product forward. They are easy to work with, tech-savvy and proactive.
Bruce Burdick
Chief Information Officer at Integra Credit
We've been working with Sphere and its excellent consultants since our founding. I've found that they are true partners in the success of our business.
Jemal Swoboda
CEO at Dabble
The resources and developers that Sphere Software provides are skilled and have the required technical expertise, but more importantly, they have helped us build a culture of excellence within our team.
Arthur Tretyak
Founder and CEO at IntegraCredit
With Sphere, we were able to migrate in half the time it would take to train an additional FTE… and for a fraction of the cost. Our experience with Sphere has been exceptional.
Lee Ebreo
VP of Engineering at Credit Ninja
These things would not have been achievable if we did not build our own in-house system and if we did not partner with Sphere to help us achieve our goals.
Selah Ben-Haim
VP of Engineering at Prominence Advisors
Our experience with Sphere and their team has been and continues to be fantastic. We keep throwing new projects at them, and they keep knocking them out of the park (including the rescue of a project that was previously bungled by another vendor).
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