Lower noise buffer for ultrasonic ranger

cloud/README.md

@@ -29,10 +29,10 @@ curl -X POST "https://smartwave.matthiasg.dev/alert" \
 ## Jobs
 
 ### Trigger Server CVE Audit
-`curl http://smartwave.matthiasg.dev/debug/run-job/server_cve_audit_job`
+`curl https://smartwave.matthiasg.dev/debug/run-job/server_cve_audit_job`
 
 ### Trigger Client IP Audit
-`curl http://smartwave.matthiasg.dev/debug/run-job/client_ip_audit_job`
+`curl https://smartwave.matthiasg.dev/debug/run-job/client_ip_audit_job`
 
 ### Trigger Telemetry Request
-`curl http://smartwave.matthiasg.dev/debug/run-job/request_telemetry_job`
+`curl https://smartwave.matthiasg.dev/debug/run-job/request_telemetry_job`

cloud/microwaveDishAnalyzer.py

@@ -10,7 +10,7 @@ class MicrowaveDishAnalyzer:
     """
 
     # Constant scale ratio: Centimeters per Pixel.
-    CM_PER_PIXEL: float = 0.002592593
+    CM_PER_PIXEL: float = 0.005925926
 
     def __init__(self, cm_per_pixel: Optional[float] = None):
         if cm_per_pixel is not None:

cloud/safety_checker.py

@@ -3,34 +3,42 @@ from pydantic import BaseModel, Field
 from APIs.aichat import generate
 import shared.config as config
 
+class UtensilMaterialCheck(BaseModel):
+    object_name: str = Field(
+        description="Name of utensil or container seen (e.g., spoon, fork, tray)."
+    )
+    is_metal: bool = Field(
+        description="True ONLY if the object is made of metal, stainless steel, or aluminum."
+    )
     
 class DishSafetyResult(BaseModel):
-    visible_objects: list[str] = Field(
-        description="List physical container items and utensils visible in the image."
+    utensils_and_containers: list[UtensilMaterialCheck] = Field(
+        description="List each visible non-food object and check if it is made of metal."
     )
     material_analysis: str = Field(
-        description="Brief description of container material (e.g., standard plastic tray, glass bowl)."
+        description="Short description of the materials present."
     )
     detected_hazards: list[str] = Field(
-        description="List of visually confirmed metal or foil hazards. MUST be empty [] if no metal or foil is present."
+        description="List objects from utensils_and_containers where is_metal is True."
     )
     is_safe: bool = Field(
-        description="Set to True if detected_hazards is empty. Set to False ONLY if metal or aluminum foil is present."
+        description="True if detected_hazards is completely empty []. False if ANY metal is found."
     )
     warning_message: str = Field(
-        description="Short warning if is_safe is False, otherwise an empty string."
+        description="If is_safe is False, set to 'REMOVE METAL UTENSIL OR FOIL BEFORE MICROWAVING'. Otherwise empty ''."
     )
 
 
 def check_dish_safety(image_path: str) -> dict:
     prompt = (
-        "Analyze this food image for microwave safety.\n\n"
-        "DEFAULT ASSUMPTION:\n"
-        "- Assume the dish is SAFE (is_safe = True, detected_hazards = []).\n"
-        "- Standard food (meat, vegetables, potatoes) and standard containers (black plastic meal trays, plastic bowls, ceramic, glass) are 100% SAFE for microwaves.\n\n"
-        "STRICT HAZARD RULE:\n"
-        "- Flag as UNSAFE ONLY if you can literally see actual metal cutlery (metal spoon/fork/knife), aluminum foil packaging, or metal foil trim in the image.\n"
-        "- Do NOT invent or hallucinate hazards. If you do not see shiny metal or aluminum foil, detected_hazards MUST be an empty list []."
+        "Analyze this microwave dish image strictly for EQUIPMENT DAMAGE HAZARDS (Metal, Steel, Aluminum Foil).\n\n"
+        "GOAL:\n"
+        "Identify if any metallic item (metal spoon, fork, knife, aluminum foil, wire) is inside the dish.\n\n"
+        "RULES:\n"
+        "1. Examine all utensils carefully, even in dim lighting or dark spots.\n"
+        "2. Spoons, forks, and knives are often STAINLESS STEEL / METAL. If a spoon or fork is visible, mark is_metal = True unless it is clearly bright colored plastic.\n"
+        "3. Ignore chemical or health concerns (plastic cancer risks are IRRELEVANT). Focus ONLY on spark/fire hazards (metal, foil).\n"
+        "4. If ANY utensil is metal: set is_metal=True, add it to detected_hazards, and set is_safe=False."
     )
 
     response_raw = generate(

orchestrateur/main.py

@@ -817,16 +817,16 @@ async def monitor_dish_height_task():
 
         if dist is not None:
             # Hysteresis Thresholds:
-            # - Must be > 2.5 cm to detect dish insertion
-            # - Must be < 1.2 cm to detect dish removal
-            if dist > 2.5:
+            # - Must be > 1.2 cm to detect dish insertion
+            # - Must be < 0.8 cm to detect dish removal
+            if dist > 1.2:
                 consecutive_present += 1
                 consecutive_absent = 0
-            elif dist < 1.2:
+            elif dist < 0.8:
                 consecutive_absent += 1
                 consecutive_present = 0
             else:
-                # Dead-zone (1.2cm to 2.5cm) -> Noise buffer
+                # Dead-zone (1.2cm to 0.8cm) -> Noise buffer
                 consecutive_present = 0
                 consecutive_absent = 0
 
@@ -848,7 +848,7 @@ async def monitor_dish_height_task():
                 ir_data_cache.pop(mw_id, None)
                 ir_data_events.pop(mw_id, None)
         
-        await asyncio.sleep(0.3)
+        await asyncio.sleep(0.7)
 
 # --- BOOTSTRAP ---
 async def main():