How to Create Your Own Smart Court

Turn any court into a smart training environment

With CoachEye, any user can create their own Smart Court setup and turn a regular court into a connected training environment.

This means you are no longer limited to traditional coaching tools or fragmented video workflows. Instead, you can build a system that helps you capture training and matches, store footage, analyze performance with AI, and use that data to improve athlete development over time.

CoachEye makes this possible in two connected layers:

• Data input layer — how footage and live training data are captured.
• Data intelligence layer — how recordings are stored, processed, analyzed, and turned into useful feedback.

Together, these two layers turn a normal court into a working Smart Court. For day-to-day use of the on-court product area, see Smart Court and Smart Court: Start New Session.

Who can build a Smart Court

The Smart Court model is designed to be flexible.

Any CoachEye user can build their own Smart Court setup, including:

• coaches working with individual athletes or groups,
• academies and clubs,
• private facilities,
• parents supporting a young athlete,
• or independent players who want a more advanced training environment.

The key idea is simple: you do not need a special venue to start. If you have a court, a way to capture video, and a CoachEye setup, you can begin building your own Smart Court workflow.

Step 1. Register in CoachEye

The first step is to create your CoachEye account and enter the platform.

Once inside, you gain access to the broader CoachEye system, where training plans, sessions, video review, and progress tracking already work together across:

• Today — daily execution,
• Development Plans — weekly structure,
• Training Hub — drills and reusable content,
• Logbook — history and progress review,
• Video Analysis — footage-based review,
• Training sessions — session templates and planning depth inside Training Hub.

This matters because Smart Court is not meant to exist as an isolated hardware tool. It becomes most valuable when it is connected to the full athlete-development workflow. Orientation: Quick start and Core concepts.

Step 2. Create a court location

After registration, the next step is to create your court or training location inside the system.

This gives the product a real place to connect training activity to. A Smart Court is not only about video capture — it is also about linking that capture to a specific training environment, where sessions, matches, and reviews can happen in context.

A location can represent:

• a tennis court,
• a badminton court,
• a squash court,
• a pickleball court,
• or another training space supported by your setup.

Once the location exists, it becomes the base layer for your Smart Court model.

Step 3. Connect cameras or mobile devices

CoachEye allows courts to become “smart” through flexible capture methods.

There are two main ways to provide input data:

A. Stationary camera setup

A court can be equipped with fixed cameras that continuously or selectively capture training sessions and matches.

This model is useful for:

• clubs,
• academies,
• fixed training venues,
• and environments where the same court is used repeatedly.

B. Mobile device setup

A user can also use mobile devices to capture sessions and matches.

This is especially useful for:

• private coaches,
• traveling athletes,
• parents recording a child’s match,
• or players who want to bring Smart Court functionality to any available venue.

This flexibility is one of the key strengths of the CoachEye model: any court can become a Smart Court, whether the input comes from installed cameras or from mobile recording devices.

Step 4. Attach a Realtime Agent to the court

Once the location and capture method are ready, the next step is to connect a Realtime Agent to the court.

This is what turns simple recording into an intelligent training environment.

With a Realtime Agent connected, the court becomes capable of supporting:

• structured capture of training and match activity,
• smarter recording workflows,
• live or near-live processing logic depending on the setup,
• and the foundation for deeper AI-based analysis later.

This is where a standard court starts becoming a true Smart Court: not just a place where video is recorded, but a place where activity can be interpreted, tracked, and connected to performance workflows.

Step 5. Record training sessions and matches

Once the Smart Court is active, users can begin recording:

• training sessions,
• practice blocks,
• and competitive matches.

This footage becomes a valuable source of training data.

CoachEye supports adding video projects, uploading footage from a device, adding footage from a link, or recording new video directly inside Video Analysis — so video can enter the ecosystem from several directions and remain connected to the rest of the product.

For users, this creates an important shift:

• instead of training being observed only in the moment,
• every relevant session or match can become part of a reusable development record.

Step 6. Store, process, and analyze the data

This is the second major layer of the Smart Court model.

After recording, CoachEye can serve as the environment where footage is:

• stored,
• organized,
• reopened later,
• reviewed,
• and processed with AI-assisted tools.

Inside Video Analysis, users can slow footage down, mark important moments, leave notes, ask Assist questions in plain language, and keep analysis connected to the project.

Inside Logbook, users can move from history into session records, attached video, and deeper analytics where available.

The product does not stop at video capture. It also creates long-term value through storage, retrieval, structured review, AI-supported interpretation, and performance tracking over time.

Two-part business model

CoachEye’s Smart Court model can be understood as two connected product layers.

1. Input layer — make any court smart

This layer is about data capture. It includes:

• user registration,
• court creation,
• camera or mobile-device connection,
• and Realtime Agent attachment.

This is the infrastructure side: how training and match activity enters the system.

2. Intelligence layer — turn recordings into value

This layer is about what happens after capture. It includes:

• video storage,
• project organization,
• AI-assisted review,
• session-linked analysis,
• and progress tracking across time through Logbook and Analytics & Progress.

This is the software and data-value side: how recordings become useful for coaching, athlete development, and decision-making.

Together, these layers make CoachEye more than a recording tool — a platform for smart sports infrastructure and performance intelligence.

Why this model matters

Traditional sports capture workflows are often fragmented: one tool records, another stores, another analyzes, and progress is tracked somewhere else. CoachEye brings these parts together.

That creates several advantages:

This is especially valuable in racquet sports, where technical precision, repetition quality, movement patterns, and match context all matter.

Who benefits

• Coaches — Build a smarter training environment, record athlete work more consistently, and use video plus analytics to guide development more precisely.
• Athletes — Gain a clearer view of training and matches, making it easier to understand progress and work more intentionally.
• Parents — Support development with more visibility into sessions, match footage, and progress over time.
• Clubs and academies — Turn standard courts into smarter, data-enabled training assets and a more professional development environment.

Smart Court as part of the CoachEye ecosystem

The value of Smart Court increases because it is connected to the rest of CoachEye:

Smart Court is not just a smart venue — it is the capture layer inside a broader athlete-development platform.

Related guides

• Smart Court — concept and on-court lifecycle.
• Smart Court: Start New Session — starting a session from a court row.
• Usage scenarios — end-to-end flows including on-court work.
• About CoachEye — platform overview.

Final takeaway

With CoachEye, creating your own Smart Court means building a complete feedback system around a real court.

You:

1. register,
2. create a location,
3. connect cameras or mobile devices,
4. attach a Realtime Agent,
5. record training and matches,
6. store, process, and analyze the results with AI.

This is how any regular court can become a Smart Court — and how recorded activity can turn into long-term performance value.