BigHitter Baseball & Softball AI
No hardware, all devices, deeply insightful.
Upload your first video to start an analysis.
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Unlock Granular Insights: Introducing BigHitter...
We are pleased to introduce BigHitter Pro Mode, a powerful suite of advanced AI tools integrated directly into our analysis platform. This new mode is designed specifically for coaches, analysts, and...
Unlock Granular Insights: Introducing BigHitter...
We are pleased to introduce BigHitter Pro Mode, a powerful suite of advanced AI tools integrated directly into our analysis platform. This new mode is designed specifically for coaches, analysts, and...
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Development Initiation: AI System for Tennis Se...
We confirm the commencement of development for a specialized AI system focused on the quantitative analysis of tennis performance. The initial development phase targets the biomechanics of the tennis serve....
Development Initiation: AI System for Tennis Se...
We confirm the commencement of development for a specialized AI system focused on the quantitative analysis of tennis performance. The initial development phase targets the biomechanics of the tennis serve....
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Announcing Development: Swish101 - AI-Powered B...
We are pleased to announce the active development of Swish101, an advanced AI system dedicated to the quantitative analysis of basketball performance dynamics. Leveraging sophisticated computer vision and machine learning algorithms,...
Announcing Development: Swish101 - AI-Powered B...
We are pleased to announce the active development of Swish101, an advanced AI system dedicated to the quantitative analysis of basketball performance dynamics. Leveraging sophisticated computer vision and machine learning algorithms,...
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Object Detection
Arguably the most fundamental computer vision task for sports analysis, object detection answers the core question: What is on the field or court? From identifying players and the ball to recognizing goals or field markings, this capability is highly sought after in sports technology.
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Object Tracking
As the natural extension of detecting players or the ball, tracking analyzes their movement and positioning over time. This is crucial for sports analytics to understand tactical formations, player paths, and the dynamics of a play as it unfolds.
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Pose Estimation / Recognition (2D)
Crucial for sports tech and fitness development, sophisticated analysis capabilities like 'skeletal tracking' or 'human pose estimation' provide invaluable insights into athlete performance and technique, driving innovation in training and coaching tools.
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Action / Activity Recognition
Utilizes 3D pose estimation and human space estimation, offers granular insights into athlete biomechanics and performance. This allows for detailed tracking of movements, joint angles, and spatial relationships, potentially revealing subtle nuances in technique.
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Multi-Object Tracking (MOT)
Excels at simultaneously following numerous players and objects even in dense, fast-paced game scenarios. Essential for detailed tactical analysis, understanding spatial relationships, and evaluating team dynamics throughout a play.
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Event Detection
Automatically identifies and logs significant game occurrences like goals scored, penalties, player substitutions, or specific actions (e.g., pitch release, ball contact). Streamlines highlight generation and enables efficient event-based video analysis.
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Optical Character Recognition (OCR)
OCR solves a very specific and valuable problem: extracting text from video feeds. Common applications include license plates, jersey numbers, score boards, stat sheets, etc.
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Video Summarization
Addresses the major pain point of having too much video footage. Automatically generating highlights or summaries is highly desirable in media and sports.
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Dynamic Image & Video Overlay
This involves overlaying key insights—such as player tracking paths, highlighted bounding boxes around key players, performance data readouts, or graphical annotations—directly onto the video.
