We build custom basketball video analysis software for tech startups, smart courts, clubs, and academies. Use standard cameras to automate shot tracking (make/miss), generate shot charts, and analyze spacing and possessions in near real time.
Sensor-based systems are costly, hard to maintain, and difficult to scale across multiple courts. Video-first AI provides a simpler path: capture games with standard cameras and extract performance insights without wearables or specialized tracking kits.
Hardware-heavy setups raise upfront and ongoing costs across venues and programs. Video-first systems reduce friction while keeping insights consistent.
Staff time gets consumed by tagging plays, tracking shots, and compiling reports. AI automation gives teams insights faster with less operational overhead.
Sensors don’t explain what happened on the court. Video analytics connects shot outcomes to context like spacing, contest pressure, and positioning.
Sensor-based setups lock you into per-court hardware costs. Video-first systems scale across facilities using existing camera infrastructure, no retrofitting required.
From training and development to broadcast-style insights, we build custom systems that fit your level of play and your product roadmap.
Automate shot detection and outcomes from video to generate accurate shot charts and trend reports. Ideal for training facilities, teams, and smart court operators.
Build a consumer or team app experience that provides shot feedback, repetition tracking, progress insights, and personalized coaching workflows.
Analyze spacing, movement, and possession structure to support coaching decisions. Build views for offensive sets, defensive positioning, and key moments.
Basketball is fast, crowded, and visually complex. Our approach is designed for real gameplay: motion blur, partial occlusions, varying lighting, and different camera angles.
We isolate relevant court regions so the system can track shots and player movement efficiently, even with changing camera angles.
We maintain tracking through overlaps, screens, and player congestion so you don’t lose events during the most important moments.
We use visual cues around rim and net dynamics to improve make/miss confidence and reduce false detections.
We map video coordinates to a consistent court coordinate system so shot charts, heatmaps, and tactical views remain stable across feeds.
From Raw Footage to Shot Charts and Trends A sports technology team needed reliable make/miss automation without adding sensors to courts. We built a video-first pipeline that converts standard camera feeds into shot events, shot charts, and performance summaries that can be delivered inside their existing product. What we delivered Shot detection + make/miss classification Shot chart generation mapped to court coordinates Exportable analytics and API delivery to their app Deployment options aligned to venue constraints
Whether you’re building a shooting app or operating smart courts, we can engineer a custom basketball video analytics system designed for your users, your data, and your deployment requirements across the US and Europe.
Fill the form below or Contact us at +1 408 365-4638 / email us via contact@folio3.ai
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+1 408 365-4638
contact@folio3.ai
6701 Koll Center Parkway, #250 Pleasanton, CA 94566
