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.
Trusted by Leading Enterprises
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.
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.
Who This Is For
INDUSTRY
VERTICAL APPLICATION
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.
ROI & Bussines Impact
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 alone typically saves $200K–$600K annually in fuel and time losses at instrumented intersections.
Let’s Connect
Trusted by
Flexible, fast, and focused — Sphere solves your tech and business challenges as you scale.
Luke Suneja
Client Partner
Hear From Our Clients
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).
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.
Sphere consistently prioritizes the needs of their clients, demonstrating both agility and teamwork. They bring innovative and well-considered solutions, consistently surpassing my expectations.
Sphere provided excellent full-stack development manpower to augment our team and work with us.
We've been working with Sphere and its excellent consultants since our founding. Their combination of offshore talent, pricing, and shift offsetting is hard to beat. They provide crucial augmentation to our in-house team. We simply couldn't achieve our production ambitions without their service.
The resources and developers that Sphere Software provides are skilled and have the required technical expertise to complete their tasks successfully, with the team easily scaled in either direction. The deliverables are always high-quality.
With Sphere, we were able to migrate in half the time it would take to train an additional FTE…
These things would not have been achievable if we did not build our own in-house system. We augmented our development team capabilities using Sphere’s developer, who works very well with our Dev Lead in Chicago. Sphere’s developer was an expert in the new system, and continues to be an expert as we evolve it.
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