Feature Description
Visual assistive tool aiding navigation and identification of physical interface elements
Problem It Solves
Navigating inaccessible physical interfaces as a blind user
Proposed Solution
Provide real-time directional feedback and auditory confirmation to identify button locations
Implementation details
Assume each generated tool implements one user-facing task. If this issue enumerates multiple stages, execute one ordered copilot_llm_call(...) per stage, pass useful structured artifacts to later calls with metadata={"previous_stage_artifact": ...}, and pass the original image to every later visual stage. If an earlier result is empty, failed, or low-confidence, pass only the original image—not the failed response or artifact—so the next model can inspect it independently. Use the stage capability as capability. Choose only from these capabilities: general_reasoning, ocr, object_detection_localization, structured_visual_understanding, spatial_reasoning, navigation, camera_motion, or temporal_reasoning. Never use visual_reasoning. The backend may evaluate and escalate reasoning capabilities according to the execution policy. Generated tools must not choose implementations, models, providers, detector backends, fallback order, retries, or verification logic. Do not implement detection, OCR, VLM, LLM, model loading, or provider calls inside generated tool files. Generated tools must not create routers, capability registries, detector/OCR/LLM wrappers, new model-router clients, provider-specific DEFAULT_MODEL constants, COCO_CLASSES, .pt model loading/discovery logic, or direct provider calls.
Alternatives Considered
Example usage
{'video': 'https://example.com/video', 'scenarios': [{'description': 'Pointing near a button without touching it', 'expected': 'Directional guidance to move finger to the button'}, {'description': 'Pointing directly to a button', 'expected': 'Immediate identification and confirmation'}, {'description': 'Pointing below a button', 'expected': 'Directional guidance to move finger to the button'}]}
Live Mode
yes
Live Query
Every 1 second if context doesn't change, immediately if context changes
Additional Context
Brainstorming Session
Q: What might happen when the user is trying to navigate a complex interface with many similar-looking buttons or icons, and the tool is unsure which button is being pointed to?
A: Express this uncertainty, tell them what buttons they are near and their relative directions (e.g. the 5 button is slightly left and the 6 button is slightly right)
Q: How might the tool handle situations where multiple buttons or interface elements have similar names or functions, requiring users to make decisions or choose between options based on their understanding of the context?
A: If a specific name of a button is visible, read it aloud to help contextualize, but if they are similar that is ok. You are supposed to help the user navigate the interface, not teach them how to use it directly
Q: What would happen if the tool is used in an environment with bright or changing lighting conditions that significantly impact camera performance, such as a brightly lit room or a room with varying levels of natural daylight passing through windows?
A: If lighting is impacting your ability to understand that context, convey that uncertainty. If it is something the user can change, like turning on a light, ask them to do so. If it is not, give the best answer you can considering the uncertainty
Q: What types of interfaces, beyond standard buttons on a microwave oven, should the Physical Interface Accessibility Aid be designed to accommodate, and how might it adapt to these varying layouts to ensure effective user navigation?
A: It should go for most physical interfaces. Some more examples though not comprehensive might involve thermostats, information kiosks, or checkout terminals. The tool should be agnostic to any one layout: the microwave was just an example. When the tool runs it should contextualize the interface and give feedback accordingly
Q: How would the Physical Interface Accessibility Aid handle situations with interface elements that are obstructed, covered, or partially hidden by objects, such as food on a microwave keypad or a phone case partially covering a button on a device?
A: If you cannot see an interface element fully, quantify and communicate that uncertainty to the user. If you are able to use context from surrounding interface elements to understand what a blocked one might be, try that. Otherwise, you can ask the user to change the camera angle to try to accommodate (give them a direction to move it). This might come up a lot if their finger itself blocks an element
Q: How would the Physical Interface Accessibility Aid handle situations with interface elements that are obstructed, covered, or partially hidden by objects, such as food on a microwave keypad or a phone case partially covering a button on a device?
A: If you cannot see an interface element fully, quantify and communicate that uncertainty to the user. If you are able to use context from surrounding interface elements to understand what a blocked one might be, try that. Otherwise, you can ask the user to change the camera angle to try to accommodate (give them a direction to move it). This might come up a lot if their finger itself blocks an element
Unless otherwise specified, in streaming mode, any verbal/text response should be limited to 15 words. No such limit applies to one-shot output.
Video Summary
In this video, a narrator describes the functionality of a hypothetical visual assistance tool by demonstrating various scenarios on a microwave interface.
In the first scenario, the narrator points their finger near the Start button but not on it. The narrator states that the tool should provide directional guidance, saying something like, "Move your finger to the right to go to the Start button." Once the finger is correctly positioned, the tool should confirm with an announcement: "Your finger is on the Start button."
In the second scenario, the narrator points directly to the Pause button. In this case, the tool should immediately identify the button's location and say, "Your finger is on the Pause button."
In the third scenario, the narrator points to a spot below the 7 button. The tool should then instruct the user, "Move your finger up to press the 7 button."
The goal of this tool is to provide real-time directional feedback and auditory confirmation to help users navigate and identify buttons on a physical interface.
Write the code for this tool inside the tools folder. Assume the tool implements one user-facing task. For a Task Stages section, make one ordered copilot_llm_call(...) per stage and explicitly pass useful artifacts to later calls. Use only these capabilities: general_reasoning, ocr, object_detection_localization, structured_visual_understanding, spatial_reasoning, navigation, camera_motion, temporal_reasoning. Never use visual_reasoning. Do not import litellm, call litellm.completion(), create new model-router clients, create ModelRouter classes, resolve model names, resolve API keys, import detector libraries/provider SDKs/YOLO, define COCO_CLASSES, hardcode model names, load .pt files, or call YOLO(...). Do not select implementations, providers, fallback order, retries, or verification logic in generated tools.
Feature Description
Visual assistive tool aiding navigation and identification of physical interface elements
Problem It Solves
Navigating inaccessible physical interfaces as a blind user
Proposed Solution
Provide real-time directional feedback and auditory confirmation to identify button locations
Implementation details
Assume each generated tool implements one user-facing task. If this issue enumerates multiple stages, execute one ordered
copilot_llm_call(...)per stage, pass useful structured artifacts to later calls withmetadata={"previous_stage_artifact": ...}, and pass the original image to every later visual stage. If an earlier result is empty, failed, or low-confidence, pass only the original image—not the failed response or artifact—so the next model can inspect it independently. Use the stage capability ascapability. Choose only from these capabilities:general_reasoning,ocr,object_detection_localization,structured_visual_understanding,spatial_reasoning,navigation,camera_motion, ortemporal_reasoning. Never usevisual_reasoning. The backend may evaluate and escalate reasoning capabilities according to the execution policy. Generated tools must not choose implementations, models, providers, detector backends, fallback order, retries, or verification logic. Do not implement detection, OCR, VLM, LLM, model loading, or provider calls inside generated tool files. Generated tools must not create routers, capability registries, detector/OCR/LLM wrappers, new model-router clients, provider-specificDEFAULT_MODELconstants,COCO_CLASSES,.ptmodel loading/discovery logic, or direct provider calls.Alternatives Considered
Example usage
{'video': 'https://example.com/video', 'scenarios': [{'description': 'Pointing near a button without touching it', 'expected': 'Directional guidance to move finger to the button'}, {'description': 'Pointing directly to a button', 'expected': 'Immediate identification and confirmation'}, {'description': 'Pointing below a button', 'expected': 'Directional guidance to move finger to the button'}]}
Live Mode
yes
Live Query
Every 1 second if context doesn't change, immediately if context changes
Additional Context
Brainstorming Session
Q: What might happen when the user is trying to navigate a complex interface with many similar-looking buttons or icons, and the tool is unsure which button is being pointed to?
A: Express this uncertainty, tell them what buttons they are near and their relative directions (e.g. the 5 button is slightly left and the 6 button is slightly right)
Q: How might the tool handle situations where multiple buttons or interface elements have similar names or functions, requiring users to make decisions or choose between options based on their understanding of the context?
A: If a specific name of a button is visible, read it aloud to help contextualize, but if they are similar that is ok. You are supposed to help the user navigate the interface, not teach them how to use it directly
Q: What would happen if the tool is used in an environment with bright or changing lighting conditions that significantly impact camera performance, such as a brightly lit room or a room with varying levels of natural daylight passing through windows?
A: If lighting is impacting your ability to understand that context, convey that uncertainty. If it is something the user can change, like turning on a light, ask them to do so. If it is not, give the best answer you can considering the uncertainty
Q: What types of interfaces, beyond standard buttons on a microwave oven, should the Physical Interface Accessibility Aid be designed to accommodate, and how might it adapt to these varying layouts to ensure effective user navigation?
A: It should go for most physical interfaces. Some more examples though not comprehensive might involve thermostats, information kiosks, or checkout terminals. The tool should be agnostic to any one layout: the microwave was just an example. When the tool runs it should contextualize the interface and give feedback accordingly
Q: How would the Physical Interface Accessibility Aid handle situations with interface elements that are obstructed, covered, or partially hidden by objects, such as food on a microwave keypad or a phone case partially covering a button on a device?
A: If you cannot see an interface element fully, quantify and communicate that uncertainty to the user. If you are able to use context from surrounding interface elements to understand what a blocked one might be, try that. Otherwise, you can ask the user to change the camera angle to try to accommodate (give them a direction to move it). This might come up a lot if their finger itself blocks an element
Q: How would the Physical Interface Accessibility Aid handle situations with interface elements that are obstructed, covered, or partially hidden by objects, such as food on a microwave keypad or a phone case partially covering a button on a device?
A: If you cannot see an interface element fully, quantify and communicate that uncertainty to the user. If you are able to use context from surrounding interface elements to understand what a blocked one might be, try that. Otherwise, you can ask the user to change the camera angle to try to accommodate (give them a direction to move it). This might come up a lot if their finger itself blocks an element
Unless otherwise specified, in streaming mode, any verbal/text response should be limited to 15 words. No such limit applies to one-shot output.
Video Summary
In this video, a narrator describes the functionality of a hypothetical visual assistance tool by demonstrating various scenarios on a microwave interface.
In the first scenario, the narrator points their finger near the Start button but not on it. The narrator states that the tool should provide directional guidance, saying something like, "Move your finger to the right to go to the Start button." Once the finger is correctly positioned, the tool should confirm with an announcement: "Your finger is on the Start button."
In the second scenario, the narrator points directly to the Pause button. In this case, the tool should immediately identify the button's location and say, "Your finger is on the Pause button."
In the third scenario, the narrator points to a spot below the 7 button. The tool should then instruct the user, "Move your finger up to press the 7 button."
The goal of this tool is to provide real-time directional feedback and auditory confirmation to help users navigate and identify buttons on a physical interface.
Write the code for this tool inside the tools folder. Assume the tool implements one user-facing task. For a Task Stages section, make one ordered
copilot_llm_call(...)per stage and explicitly pass useful artifacts to later calls. Use only these capabilities:general_reasoning,ocr,object_detection_localization,structured_visual_understanding,spatial_reasoning,navigation,camera_motion,temporal_reasoning. Never usevisual_reasoning. Do not importlitellm, calllitellm.completion(), create new model-router clients, create ModelRouter classes, resolve model names, resolve API keys, import detector libraries/provider SDKs/YOLO, defineCOCO_CLASSES, hardcode model names, load.ptfiles, or callYOLO(...). Do not select implementations, providers, fallback order, retries, or verification logic in generated tools.