Arena Sensing
Recognize target zones, LED states and visible drone movement within a known Arena layout.
Coming Soon
Lazarus: AI research for Arena operators.
Lazarus explores how AI can interpret target state and drone activity, then present useful information to an Arena operator. It remains in development and is separate from the completed core game system.
What Lazarus Is
Software to help an operator follow the round.
Lazarus is being developed within Arena. It is not currently offered as a standalone product.
Supervised Control Support
Explore prompts that help an operator follow scoring, timing and resets while retaining control of the round.
Reviewable Rounds
Bring timestamps, score events and footage together so an operator can review what happened.
Current Testing
What we're testing right now.
We test in known Arena layouts with a person overseeing the activity. The goal is useful information for the operator, rather than decisions made without supervision.
Arena State Recognition
Identifying target zones, drone position cues, lighting states, and round status inside a known physical layout.
Scoring Context
Connecting visible events, timestamps, score changes, misses, resets, and review notes into a usable operator record.
Operator-Assist Cues
Testing prompts for round timing, resets and operator checks.
Development Boundary
Built around operator oversight and defined environments.
The work is limited to Arena environments with known layouts and game elements. Performance in other settings is not assumed.
- Human-supervised operation and operator-supervised reset flow
- Arena perception for game environments
- Scoring, timing, telemetry, lighting, and review support
- Prototype demonstrations and partner feedback before broader packaging
Limited Preview
Discuss Arena sensing or scoring research.
Contact us if you want to collaborate on Arena sensing, scoring, or operator-assist software.
Next Step
Interested in Parallax Lazarus?
Tell us which Arena sensing or scoring problem you want to work on.