docs: plan v1.2 trajectory recognition workflow

memories.md

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+# Memories
+
+## User and Workflow
+
+- User wants Chinese responses.
+- Project path for subagent headers is `/Users/yoilun/Code/cold_display_guard`.
+- Current workflow batch is `v1.2 轨迹识别`.
+- User requested following `/Users/yoilun/Code/goal-subagents-workflow-prompt.md`.
+- Every subagent task must begin with:
+
+```text
+[项目: /Users/yoilun/Code/cold_display_guard]
+[工作流批次: v1.2 轨迹识别]
+[阶段: 阶段 x]
+[角色: 对应智能体角色]
+```
+
+## Technical Direction
+
+- First implement lightweight motion trajectory detection without YOLO dependencies.
+- Preserve a stable `disposal_evidence` contract for a future trained YOLO product detector.
+- Keep ROI occupancy timing as the source of zone occupied/empty state.
+- Use trajectory evidence before generic trash-motion FIFO fallback.
+- Remote deployment target is `xiaozheng@192.168.5.206:/home/xiaozheng/cold_display_guard`; preserve remote `config/example.toml`.