# VisionAI Observ

## English

- [Your Observ Journey](https://linkervision.gitbook.io/observ/readme.md): Linker VisionAI Platform - Observ Smart Detection Platform User Guide
- [Technical Specifications](https://linkervision.gitbook.io/observ/tech-specification/technical-specifications.md): VisionAI Observ is deployed on a Kubernetes architecture, supporting both edge and cloud computing. After establishing a connection to cameras via a browser, AI detection tasks can be initiated.
- [Creating Your First AI Camera Task](https://linkervision.gitbook.io/observ/observ-walkthrough/creating-your-first-ai-detection-task.md): This section guides you through the step-by-step process of creating a sample task to get you started on using the platform.
- [Task Management Dashboard](https://linkervision.gitbook.io/observ/observ-walkthrough/managing-and-monitoring-detection-tasks.md): VisionAI Observ provides a clear interface, featuring video snapshots, lists, maps, and various detailed information, ensuring you have a comprehensive view of the tasks, anytime and anywhere.
- [Viewing Your Task](https://linkervision.gitbook.io/observ/observ-walkthrough/managing-and-monitoring-detection-tasks/viewing-your-task.md): Each task has a clear and intuitive view to allow the user to effectively manage and view events logs for all the tasks.
- [Task Settings](https://linkervision.gitbook.io/observ/observ-walkthrough/managing-and-monitoring-detection-tasks/task-settings.md): Task settings allow you to modify advanced features and adjust pre-configured settings during task creation, enabling you to do further calibrations to ensure you catch every occurring event.
- [Detection Settings](https://linkervision.gitbook.io/observ/observ-walkthrough/managing-and-monitoring-detection-tasks/detection-settings.md): Detection settings provide the user with tools to configure preferences regarding the AI detection mechanism.
- [Event Type Settings](https://linkervision.gitbook.io/observ/observ-walkthrough/managing-and-monitoring-detection-tasks/event-type-settings.md): Event type settings provide the user with tools to configure specific events running on an individual task, allowing for specific tailoring and personalization for even the most minute details.
- [Event Records](https://linkervision.gitbook.io/observ/observ-walkthrough/event-records-1.md): VisionAI Observ saves all event records in one interface, allowing the user to view and filter historical results depending on specific requirements such as date and task restrictions.
- [Analytics and Statistics](https://linkervision.gitbook.io/observ/observ-walkthrough/event-statistical-analysis.md): Use the Analytics tab to review event volumes, trends, distributions, and false-alarm status. These views help you identify activity that needs attention.
- [Location and Camera Resource](https://linkervision.gitbook.io/observ/observ-walkthrough/location-and-cameras.md): The VisionAI Observ system provides a camera management interface, categorizing cameras by location and offering options for filtering and customization.
- [System Management](https://linkervision.gitbook.io/observ/observ-walkthrough/system-settings.md): VisionAI Observ can help you manage current machine resources and understand their utilization, effectively leveraging existing resources to maximize computation.
- [User Management](https://linkervision.gitbook.io/observ/observ-walkthrough/organizations-and-users.md): VisionAI Observ provides streamlined user management, enabling secure onboarding of new members while ensuring all administrative operations remain intuitive and transparent.
- [Profile Settings](https://linkervision.gitbook.io/observ/observ-walkthrough/personal-settings.md): Customize your experience with VisionAI Observ. Adjust your personal settings and choose your preferred language to make navigation effortless for global users.
- [Exporting Data to DataVerse](https://linkervision.gitbook.io/observ/advanced-features/exporting-data-to-dataverse.md): VisionAI Observ can export data to DataVerse. Here, you can easily filter and curate image samples to continuously improve and evolve your AI models.
- [Managing AI Models](https://linkervision.gitbook.io/observ/advanced-features/managing-ai-models.md): The VisionAI Observ allows you to manage current AI models through the AI Model Repository page, import the latest AI models at any time, and keep your detection in optimal condition.
- [Customizing Scenarios](https://linkervision.gitbook.io/observ/advanced-features/customizing-scenarios.md): The VisionAI Observ allows you to customize detection scenarios. Set up any AI detection targets and events, unleashing your imagination to ensure AI detection is not limited to any applications.
- [Batch Create, Edit, Download](https://linkervision.gitbook.io/observ/advanced-features/batch-create-edit-download.md)
- [Custom Detection Events](https://linkervision.gitbook.io/observ/advanced-features/custom-detection-events-beta.md): The VisionAI Observ enables custom detection events, allowing you to set up any AI detection targets and logic. Unleash your imagination and break free from any application scenario limitations.
- [(Event Component) Object Card](https://linkervision.gitbook.io/observ/advanced-features/custom-detection-events-beta/event-component-object-card.md)
- [(Event Component) Area Card](https://linkervision.gitbook.io/observ/advanced-features/custom-detection-events-beta/event-component-area-card.md)
- [(Event Component) Logic Gate](https://linkervision.gitbook.io/observ/advanced-features/custom-detection-events-beta/event-component-logic-gate.md)
- [Logic Gate: With](https://linkervision.gitbook.io/observ/advanced-features/custom-detection-events-beta/event-component-logic-gate/logic-gate-with.md)
- [Logic Gate: Overlap](https://linkervision.gitbook.io/observ/advanced-features/custom-detection-events-beta/event-component-logic-gate/logic-gate-overlap.md)
- [Logic Gate: OR](https://linkervision.gitbook.io/observ/advanced-features/custom-detection-events-beta/event-component-logic-gate/logic-gate-or.md)
- [Logic Gate: NOT](https://linkervision.gitbook.io/observ/advanced-features/custom-detection-events-beta/event-component-logic-gate/logic-gate-not.md)
- [Logic Gate: AND](https://linkervision.gitbook.io/observ/advanced-features/custom-detection-events-beta/event-component-logic-gate/logic-gate-and.md)
- [Logic Gate: Object Tag](https://linkervision.gitbook.io/observ/advanced-features/custom-detection-events-beta/event-component-logic-gate/logic-gate-object-tag.md)
- [Logic Gate: Counting](https://linkervision.gitbook.io/observ/advanced-features/custom-detection-events-beta/event-component-logic-gate/logic-gate-counting.md)
- [(Event Component) Event Trigger Card](https://linkervision.gitbook.io/observ/advanced-features/custom-detection-events-beta/event-component-trigger-card.md)
- [Build a VLM Template](https://linkervision.gitbook.io/observ/advanced-features/vlm-playground-beta.md): The VLM Playground provides an interactive platform for users to experiment with Vision-Language Models (VLMs) and configure templates for various analysis tasks.
- [Build a VLM Flow](https://linkervision.gitbook.io/observ/advanced-features/vlm-event-based-detection-beta.md): A pipeline that combines Object Detection and VLM with a logic layer. It first gates candidates with cheaper signals, before passing to the VLM, cutting token usage while improving precision.
- [Video Task](https://linkervision.gitbook.io/observ/advanced-features/video-task-beta.md): Video detection tasks are one-time AI detections designed to simulate real-time detection scenarios. Here, you can adjust various AI and event parameters before executing them on a live stream.
- [Smart Traffic Task (Beta)](https://linkervision.gitbook.io/observ/advanced-features/smart-traffic-task-beta.md): The Smart Traffic system is designed to provide real-time monitoring and management of urban traffic conditions using cameras, and data analysis.
- [Virtual Fencing](https://linkervision.gitbook.io/observ/ai-detection-scenarios/virtual-fencing.md): VisionAI Observ offers virtual fencing, triggering an event if a person or vehicle is detected within the user-specified restricted area.
- [Corrosion Damage Detection](https://linkervision.gitbook.io/observ/ai-detection-scenarios/corrosion-damage-detection.md): VisionAI Observ offers corrosion damage detection, triggering an event if it detects signs of rust or corrosion damage on metal surfaces that could indicate potential structural issues.
- [Pedestrian and Vehicle Counting](https://linkervision.gitbook.io/observ/ai-detection-scenarios/pedestrian-and-vehicle-counting.md): VisionAI Observ provides automated pedestrian and vehicle counting with customizable threshold levels to help manage density and ensure safety.
- [Illegal Parking Detection](https://linkervision.gitbook.io/observ/ai-detection-scenarios/illegal-parking-detection.md): VisionAI Observ offers illegal parking detection, triggering an event if vehicles are parked in prohibited areas.
- [Lane Violation Detection](https://linkervision.gitbook.io/observ/ai-detection-scenarios/lane-violation-detection.md): VisionAI Observ offers lane violation detection, triggering an event when detects vehicles that illegally enter or obstruct bicycle or bus lanes.
- [Fall Detection](https://linkervision.gitbook.io/observ/ai-detection-scenarios/virtual-fencing-1.md): VisionAI Observ offers fall detection, triggering an alert if an individual falls within a designated boundary.
- [Personnel Absence](https://linkervision.gitbook.io/observ/ai-detection-scenarios/virtual-fencing-2.md): VisionAI Observ offers personnel absence detection, triggering an alert if security personnel is found to be absent from their post.
- [No Smoking Compliance](https://linkervision.gitbook.io/observ/ai-detection-scenarios/virtual-fencing-3.md): VisionAI Observ offers no smoking area monitoring, triggering an alert if non-compliance is detected.
- [Ponding on Floor](https://linkervision.gitbook.io/observ/ai-detection-scenarios/virtual-fencing-4.md): VisionAI Observ offers ponding detection, triggering an alert when detecting spills or flooding on the ground.
- [Missing Fire Extinguisher](https://linkervision.gitbook.io/observ/ai-detection-scenarios/virtual-fencing-5.md): VisionAI Observ offers missing fire extinguisher alerts, ensuring safety equipment are always present in the designated areas, and personnel are alerted as soon as these are moved from their position.
- [PPE Compliance](https://linkervision.gitbook.io/observ/ai-detection-scenarios/ppe-compliance.md): VisionAI Observ offers PPE compliance monitoring, triggering an event if the system identifies non-compliance with PPE rules.
- [Smoke and Fire Detection](https://linkervision.gitbook.io/observ/ai-detection-scenarios/smoke-and-fire-detection.md): VisionAI Observ offers fire and smoke detection, triggering an event when flames or smoke are detected within the monitored area.
- [Waving Detection](https://linkervision.gitbook.io/observ/ai-detection-scenarios/virtual-fencing-6.md): VisionAI Observ offers waving detection, triggering an event if a person is found to be waiving or flailing their arms and alerting the security team of such SOS signals from civilians.
- [Suspicious Objects & Activities](https://linkervision.gitbook.io/observ/ai-detection-scenarios/ppe-compliance-1.md): VisionAI Observ offers detection of suspicious objects and activities, triggering an event if the system identifies a weapon-shaped objects and anyone interacting with it.
- [Population Gender Analysis](https://linkervision.gitbook.io/observ/ai-detection-scenarios/ppe-compliance-2.md): VisionAI Observ offers gender analysis and monitoring with customizable thresholds to support statistics and decision-making.
- [Tracker-Based Use Cases](https://linkervision.gitbook.io/observ/ai-detection-scenarios/tracker-based-use-cases.md): VisionAI Observ provides more advanced vision pipelines for tracking people and vehicles in motion, allowing for temporal triggers versus the usual single-frame logic.
- [API Configuration](https://linkervision.gitbook.io/observ/api-document/api-configuration.md)
- [V2 API & WebSocket](https://linkervision.gitbook.io/observ/api-document/v2-api-and-websocket.md)
- [Event Records](https://linkervision.gitbook.io/observ/api-document/v2-api-and-websocket/event-records.md)
- [Task](https://linkervision.gitbook.io/observ/api-document/v2-api-and-websocket/task.md)
- [Camera](https://linkervision.gitbook.io/observ/api-document/v2-api-and-websocket/camera.md)
- [Location](https://linkervision.gitbook.io/observ/api-document/v2-api-and-websocket/location.md)
- [Scenario and Event Type](https://linkervision.gitbook.io/observ/api-document/v2-api-and-websocket/scenario-and-event-type.md)
- [Counting](https://linkervision.gitbook.io/observ/api-document/v2-api-and-websocket/counting.md)
- [VLM Template Plus](https://linkervision.gitbook.io/observ/api-document/v2-api-and-websocket/vlm-template-plus.md)
- [Video Detection](https://linkervision.gitbook.io/observ/api-document/v2-api-and-websocket/video-detection.md)
- [Image Detection](https://linkervision.gitbook.io/observ/api-document/v2-api-and-websocket/image-detection.md)
- [Compute Target](https://linkervision.gitbook.io/observ/api-document/v2-api-and-websocket/compute-target.md)
- [Organization and User](https://linkervision.gitbook.io/observ/api-document/v2-api-and-websocket/organization-and-user.md)
- [V1 API & WebSocket (Legacy)](https://linkervision.gitbook.io/observ/api-document/v1-api-and-websocket-legacy.md)
- [Task](https://linkervision.gitbook.io/observ/api-document/v1-api-and-websocket-legacy/task.md)
- [Event](https://linkervision.gitbook.io/observ/api-document/v1-api-and-websocket-legacy/event.md)
- [Camera](https://linkervision.gitbook.io/observ/api-document/v1-api-and-websocket-legacy/camera.md)
- [Location](https://linkervision.gitbook.io/observ/api-document/v1-api-and-websocket-legacy/location.md)
- [Organization](https://linkervision.gitbook.io/observ/api-document/v1-api-and-websocket-legacy/organization.md)
- [Compute Target](https://linkervision.gitbook.io/observ/api-document/v1-api-and-websocket-legacy/compute-target.md)
- [VLM Template](https://linkervision.gitbook.io/observ/api-document/v1-api-and-websocket-legacy/vlm-template.md)
- [Video Detection](https://linkervision.gitbook.io/observ/api-document/v1-api-and-websocket-legacy/video-detection.md)
- [Add a New Inference Node](https://linkervision.gitbook.io/observ/deployment/add-a-new-inference-node.md)
- [Troubleshooting](https://linkervision.gitbook.io/observ/support/troubleshooting.md)
- [No Image Display Issues](https://linkervision.gitbook.io/observ/support/troubleshooting/no-image-display-issues.md)
- [AI Detection Issues](https://linkervision.gitbook.io/observ/support/troubleshooting/ai-detection-issues.md)
- [No Events Detected?](https://linkervision.gitbook.io/observ/support/troubleshooting/no-events-detected.md)
- [Slow or Laggy Live Stream](https://linkervision.gitbook.io/observ/support/troubleshooting/slow-or-laggy-live-stream.md)
- [FAQ](https://linkervision.gitbook.io/observ/support/faq.md)
- [Usage and Billing](https://linkervision.gitbook.io/observ/observ-usage/usage-and-billing.md)
- [Release 2026/10/07](https://linkervision.gitbook.io/observ/updates/release-2026-10-07.md)
- [Release 2026/08/05](https://linkervision.gitbook.io/observ/updates/release-2026-08-05.md): v4.0.5
- [Release 2026/05/14](https://linkervision.gitbook.io/observ/updates/release-2026-05-14.md): v3.9.3
- [Release 2026/02/25](https://linkervision.gitbook.io/observ/updates/release-2026-02-25.md): v3.8.4
- [Release 2025/12/16](https://linkervision.gitbook.io/observ/updates/release-2025-12-16.md): v3.7.2
- [Release 2025/08/27](https://linkervision.gitbook.io/observ/updates/release-2025-08-27.md): v3.6.2
- [Release 2025/6/16](https://linkervision.gitbook.io/observ/updates/realease-2025-6-16-target.md): v3.5.3
- [Realease 2025/4/10](https://linkervision.gitbook.io/observ/updates/realease-2025-4-10.md): v3.4.1
- [Realease 2025/1/8](https://linkervision.gitbook.io/observ/updates/realease-2025-1-8.md): v3.3.3
- [Release 2024/11/12](https://linkervision.gitbook.io/observ/updates/release-2024-11-12.md): v3.2.2
- [Release 2024/09/18](https://linkervision.gitbook.io/observ/updates/release-2024-09-18.md): v3.1.1
- [Release 2024/08/06](https://linkervision.gitbook.io/observ/updates/release-2024-08-06.md): v3.0.0
- [Release 2024/05/13](https://linkervision.gitbook.io/observ/updates/release-2024-05-13.md): v2.7.1

## 繁體中文

- [快速開始 Observ 旅程](https://linkervision.gitbook.io/observ/zh-tw/readme.md): Linker VisionAI Platform - Observ 智慧偵測平台使用說明
- [技術規格](https://linkervision.gitbook.io/observ/zh-tw/tech-specification/technical-specifications.md): VisionAI Observ 部署於 Kubernetes 架構之上，支援地端與雲端運算，透過瀏覽器連接攝影機後即可啟動 AI 偵測任務。
- [建立您的第一個 AI 攝影機任務](https://linkervision.gitbook.io/observ/zh-tw/observ-walkthrough/creating-your-first-ai-detection-task.md): 本章節將逐步說明如何建立範例任務，協助您快速上手本平台。
- [任務管理儀表板](https://linkervision.gitbook.io/observ/zh-tw/observ-walkthrough/managing-and-monitoring-detection-tasks.md): VisionAI Observ 提供清楚的瀏覽介面，包含即時影像縮圖、清單、地圖以及各種細節資訊，讓您隨時隨地對任務狀態一覽無遺。
- [查看任務](https://linkervision.gitbook.io/observ/zh-tw/observ-walkthrough/managing-and-monitoring-detection-tasks/viewing-your-task.md): 每個任務都提供清楚直覺的檢視畫面，讓使用者能有效管理並檢視所有任務的事件紀錄。
- [任務設定](https://linkervision.gitbook.io/observ/zh-tw/observ-walkthrough/managing-and-monitoring-detection-tasks/task-settings.md): Task Settings 讓您能修改進階功能，並調整任務建立時的預設設定，協助您進一步校準，確保不遺漏任何發生的事件。
- [偵測設定](https://linkervision.gitbook.io/observ/zh-tw/observ-walkthrough/managing-and-monitoring-detection-tasks/detection-settings.md): Detection Settings 提供使用者調整 AI 偵測機制相關偏好設定的工具。
- [事件類型設定](https://linkervision.gitbook.io/observ/zh-tw/observ-walkthrough/managing-and-monitoring-detection-tasks/event-type-settings.md): Event Type Settings 提供使用者調整個別任務中每個事件運行條件的工具，讓您能針對最細微的細節進行專屬設定。
- [事件紀錄](https://linkervision.gitbook.io/observ/zh-tw/observ-walkthrough/event-records-1.md): VisionAI Observ 將所有事件紀錄集中於單一介面，讓使用者依照日期、任務等特定條件，檢視並篩選歷史結果。
- [統計分析](https://linkervision.gitbook.io/observ/zh-tw/observ-walkthrough/event-statistical-analysis.md): 透過 Analytics 分頁檢視事件數量、趨勢、分佈狀況與錯誤警報狀態，協助您找出需要留意的活動。
- [地點與攝影機資源](https://linkervision.gitbook.io/observ/zh-tw/observ-walkthrough/location-and-cameras.md): VisionAI Observ 智慧偵測平台系統提供攝影機管理介面，依照地點分類攝影機，並提供篩選與客製化選項。
- [系統管理](https://linkervision.gitbook.io/observ/zh-tw/observ-walkthrough/system-settings.md): VisionAI Observ 能協助您管理當前的機器資源並了解其使用狀況，有效運用現有資源，將運算效能發揮到最大。
- [使用者與組織](https://linkervision.gitbook.io/observ/zh-tw/observ-walkthrough/organizations-and-users.md): VisionAI Observ 提供精簡的使用者管理功能，讓新成員能安全加入，同時確保所有管理操作皆直覺且透明。
- [個人化設定](https://linkervision.gitbook.io/observ/zh-tw/observ-walkthrough/personal-settings.md): 客製化您在 VisionAI Observ 上的使用體驗。調整您的個人設定並選擇偏好的語言，讓全球各地的使用者都能輕鬆瀏覽。
- [輸出資料至 DataVerse](https://linkervision.gitbook.io/observ/zh-tw/advanced-features/exporting-data-to-dataverse.md): VisionAI Observ 智慧偵測平台系統能將資料輸出至 DataVerse，讓您在上面篩選取樣圖片，持續改善並進化您的 AI 模型。
- [管理 AI 模型](https://linkervision.gitbook.io/observ/zh-tw/advanced-features/managing-ai-models.md): VisionAI Observ 智慧偵測平台系統能管理您目前的 AI 模型，隨時匯入最新的 AI 模型，讓您的偵測保持在最佳狀態。
- [客製化專屬場景](https://linkervision.gitbook.io/observ/zh-tw/advanced-features/customizing-scenarios.md): VisionAI Observ 智慧偵測平台系統能客製化您專屬的偵測場景，隨心所欲設置任何AI偵測目標與事件，發揮您的想像力，讓AI偵測不再侷限於任何應用場景。
- [批次建立、編輯、下載](https://linkervision.gitbook.io/observ/zh-tw/advanced-features/batch-create-edit-download.md)
- [自定義偵測事件 (Beta)](https://linkervision.gitbook.io/observ/zh-tw/advanced-features/custom-detection-events-beta.md): VisionAI Observ 讓您能自定義偵測事件，隨心所欲設置任何 AI 偵測目標與邏輯，發揮您的想像力，讓 AI 偵測不再侷限於任何應用場景。
- [(事件元件) 物件卡](https://linkervision.gitbook.io/observ/zh-tw/advanced-features/custom-detection-events-beta/event-component-object-card.md)
- [(事件元件) 區域卡](https://linkervision.gitbook.io/observ/zh-tw/advanced-features/custom-detection-events-beta/event-component-area-card.md)
- [(事件元件) 邏輯閘](https://linkervision.gitbook.io/observ/zh-tw/advanced-features/custom-detection-events-beta/event-component-logic-gate.md)
- [邏輯閘：With](https://linkervision.gitbook.io/observ/zh-tw/advanced-features/custom-detection-events-beta/event-component-logic-gate/logic-gate-with.md)
- [邏輯閘：Overlap](https://linkervision.gitbook.io/observ/zh-tw/advanced-features/custom-detection-events-beta/event-component-logic-gate/logic-gate-overlap.md)
- [邏輯閘：OR](https://linkervision.gitbook.io/observ/zh-tw/advanced-features/custom-detection-events-beta/event-component-logic-gate/logic-gate-or.md)
- [邏輯閘：NOT](https://linkervision.gitbook.io/observ/zh-tw/advanced-features/custom-detection-events-beta/event-component-logic-gate/logic-gate-not.md)
- [邏輯閘：AND](https://linkervision.gitbook.io/observ/zh-tw/advanced-features/custom-detection-events-beta/event-component-logic-gate/logic-gate-and.md)
- [邏輯閘：Object Tag](https://linkervision.gitbook.io/observ/zh-tw/advanced-features/custom-detection-events-beta/event-component-logic-gate/logic-gate-object-tag.md)
- [邏輯閘：Counting](https://linkervision.gitbook.io/observ/zh-tw/advanced-features/custom-detection-events-beta/event-component-logic-gate/logic-gate-counting.md)
- [(事件元件) 觸發卡](https://linkervision.gitbook.io/observ/zh-tw/advanced-features/custom-detection-events-beta/event-component-trigger-card.md)
- [建立 VLM 範本](https://linkervision.gitbook.io/observ/zh-tw/advanced-features/vlm-playground-beta.md): VLM Playground 提供一個互動式平台，讓使用者能實驗 Vision-Language Model（VLM），並針對各種分析任務設定範本。
- [建立 VLM Flow](https://linkervision.gitbook.io/observ/zh-tw/advanced-features/vlm-event-based-detection-beta.md): 結合物件偵測與 VLM，並透過邏輯層串接的偵測管線。先以較低成本的訊號篩選候選情境，再送入 VLM 進行判斷，藉此降低 token 用量並提升精確度。
- [影片任務](https://linkervision.gitbook.io/observ/zh-tw/advanced-features/video-task-beta.md): 影片偵測任務是一次性的 AI 偵測，用於模擬即時偵測情境。您可以在此調整各項 AI 與事件參數，之後再將設定套用於即時串流上執行。
- [智慧交通任務（Beta）](https://linkervision.gitbook.io/observ/zh-tw/advanced-features/smart-traffic-task-beta.md): 智慧交通系統（Smart Traffic）設計用於透過攝影機及資料分析，提供都市交通狀況的即時監控與管理。
- [電子圍籬](https://linkervision.gitbook.io/observ/zh-tw/ai-detection-scenarios/virtual-fencing.md): VisionAI Observ 提供電子圍籬，當偵測到人員或車輛進入使用者指定的限制區域時，觸發事件。
- [鏽蝕損壞偵測](https://linkervision.gitbook.io/observ/zh-tw/ai-detection-scenarios/corrosion-damage-detection.md): VisionAI Observ 提供鏽蝕損壞偵測，當偵測到金屬表面出現鏽蝕或腐蝕損壞跡象、可能顯示潛在結構問題時，觸發事件。
- [行人及車輛流量計數](https://linkervision.gitbook.io/observ/zh-tw/ai-detection-scenarios/pedestrian-and-vehicle-counting.md): VisionAI Observ 提供自動化的行人及車輛流量計數，並可自訂閾值，協助管理人流密度並確保安全。
- [違規停車偵測](https://linkervision.gitbook.io/observ/zh-tw/ai-detection-scenarios/illegal-parking-detection.md): VisionAI Observ 提供違規停車偵測，當車輛停放在禁止停車區域時，觸發事件。
- [車道違規偵測](https://linkervision.gitbook.io/observ/zh-tw/ai-detection-scenarios/lane-violation-detection.md): VisionAI Observ 提供車道違規偵測，當偵測到車輛違規進入或占用自行車道或公車道時，觸發事件。
- [跌倒偵測](https://linkervision.gitbook.io/observ/zh-tw/ai-detection-scenarios/virtual-fencing-1.md): VisionAI Observ 提供跌倒偵測，當偵測到人員在指定範圍內跌倒時，觸發警報。
- [人員離崗偵測](https://linkervision.gitbook.io/observ/zh-tw/ai-detection-scenarios/virtual-fencing-2.md): VisionAI Observ 提供人員離崗偵測，當偵測到駐衛人員離開崗位時，觸發警報。
- [禁菸規範偵測](https://linkervision.gitbook.io/observ/zh-tw/ai-detection-scenarios/virtual-fencing-3.md): VisionAI Observ 提供禁菸區域監控，當偵測到違規吸菸行為時，觸發警報。
- [地面積水偵測](https://linkervision.gitbook.io/observ/zh-tw/ai-detection-scenarios/virtual-fencing-4.md): VisionAI Observ 提供積水偵測，當偵測到地面有液體潑灑或淹水情形時，觸發警報。
- [滅火器遺失偵測](https://linkervision.gitbook.io/observ/zh-tw/ai-detection-scenarios/virtual-fencing-5.md): VisionAI Observ 提供滅火器遺失警報，確保指定區域內的安全設備隨時齊備，並在設備遭移離原位時立即通知人員。
- [PPE 個人防護具偵測](https://linkervision.gitbook.io/observ/zh-tw/ai-detection-scenarios/ppe-compliance.md): VisionAI Observ 提供 PPE 個人防護具偵測，當系統識別出未符合 PPE 規定時，觸發事件。
- [火焰及煙霧偵測](https://linkervision.gitbook.io/observ/zh-tw/ai-detection-scenarios/smoke-and-fire-detection.md): VisionAI Observ 提供火焰及煙霧偵測，當監控區域內偵測到火焰或煙霧時，觸發事件。
- [揮手偵測](https://linkervision.gitbook.io/observ/zh-tw/ai-detection-scenarios/virtual-fencing-6.md): VisionAI Observ 提供揮手偵測，當偵測到有人揮舞或擺動手臂時，觸發事件，並通知保全團隊注意民眾發出的 SOS 求救訊號。
- [可疑物品與行為偵測](https://linkervision.gitbook.io/observ/zh-tw/ai-detection-scenarios/ppe-compliance-1.md): VisionAI Observ 提供可疑物品與行為偵測，當系統識別出疑似武器形狀的物品，以及與其互動的人員時，觸發事件。
- [人口性別分析](https://linkervision.gitbook.io/observ/zh-tw/ai-detection-scenarios/ppe-compliance-2.md): VisionAI Observ 提供性別分析與監控，並可自訂閾值，協助進行統計與決策。
- [追蹤器應用場景](https://linkervision.gitbook.io/observ/zh-tw/ai-detection-scenarios/tracker-based-use-cases.md): VisionAI Observ 提供更進階的視覺辨識流程，用於追蹤移動中的人員與車輛，可支援時序性觸發邏輯，而非僅限於單一畫面的判斷邏輯。
- [API 設置](https://linkervision.gitbook.io/observ/zh-tw/api-document/api-configuration.md)
- [V2 API & WebSocket](https://linkervision.gitbook.io/observ/zh-tw/api-document/v2-api-and-websocket.md)
- [事件紀錄 Event Records](https://linkervision.gitbook.io/observ/zh-tw/api-document/v2-api-and-websocket/event-records.md)
- [任務 Task](https://linkervision.gitbook.io/observ/zh-tw/api-document/v2-api-and-websocket/task.md)
- [進階任務 Task Plus](https://linkervision.gitbook.io/observ/zh-tw/api-document/v2-api-and-websocket/task-plus.md)
- [攝影機 Camera](https://linkervision.gitbook.io/observ/zh-tw/api-document/v2-api-and-websocket/camera.md)
- [進階攝影機 Camera Plus](https://linkervision.gitbook.io/observ/zh-tw/api-document/v2-api-and-websocket/camera-plus.md)
- [地點 Location](https://linkervision.gitbook.io/observ/zh-tw/api-document/v2-api-and-websocket/location.md)
- [進階地點 Location Plus](https://linkervision.gitbook.io/observ/zh-tw/api-document/v2-api-and-websocket/location-plus.md)
- [事件類型 Event Type](https://linkervision.gitbook.io/observ/zh-tw/api-document/v2-api-and-websocket/event-type.md)
- [進階事件類型 Event Type Plus](https://linkervision.gitbook.io/observ/zh-tw/api-document/v2-api-and-websocket/event-type-plus.md)
- [進階計數 Counting Plus](https://linkervision.gitbook.io/observ/zh-tw/api-document/v2-api-and-websocket/counting-plus.md)
- [VLM 樣本 VLM Template](https://linkervision.gitbook.io/observ/zh-tw/api-document/v2-api-and-websocket/vlm-template.md)
- [進階 VLM 樣本 VLM Template Plus](https://linkervision.gitbook.io/observ/zh-tw/api-document/v2-api-and-websocket/vlm-template-plus.md)
- [影片偵測 Video Detection](https://linkervision.gitbook.io/observ/zh-tw/api-document/v2-api-and-websocket/video-detection.md)
- [影像偵測 Image Detection](https://linkervision.gitbook.io/observ/zh-tw/api-document/v2-api-and-websocket/image-detection.md)
- [計算目標 Compute Target](https://linkervision.gitbook.io/observ/zh-tw/api-document/v2-api-and-websocket/compute-target.md)
- [組織與使用者 Organization and User](https://linkervision.gitbook.io/observ/zh-tw/api-document/v2-api-and-websocket/organization-and-user.md)
- [V1 API & WebSocket（舊版）](https://linkervision.gitbook.io/observ/zh-tw/api-document/v1-api-and-websocket-legacy.md)
- [任務 Task](https://linkervision.gitbook.io/observ/zh-tw/api-document/v1-api-and-websocket-legacy/task.md): 提供任務清單及細節API。
- [事件 Event](https://linkervision.gitbook.io/observ/zh-tw/api-document/v1-api-and-websocket-legacy/event.md): 提供即時連接方式及歷史紀錄事件API。
- [攝影機 Camera](https://linkervision.gitbook.io/observ/zh-tw/api-document/v1-api-and-websocket-legacy/camera.md): 提供攝影機清單及細節API。
- [地點 Location](https://linkervision.gitbook.io/observ/zh-tw/api-document/v1-api-and-websocket-legacy/location.md): 提供地點清單及細節API。
- [組織 Organization](https://linkervision.gitbook.io/observ/zh-tw/api-document/v1-api-and-websocket-legacy/organization.md): 提供組織清單及細節API。
- [計算目標 Compute Target](https://linkervision.gitbook.io/observ/zh-tw/api-document/v1-api-and-websocket-legacy/compute-target.md): 提供機器(計算目標)清單及細節API。
- [VLM 樣本 Template](https://linkervision.gitbook.io/observ/zh-tw/api-document/v1-api-and-websocket-legacy/vlm-template.md): 提供VLM樣本的清單及細節API。
- [影片偵測 Video Detection](https://linkervision.gitbook.io/observ/zh-tw/api-document/v1-api-and-websocket-legacy/video-detection.md): 提供影片偵測方法，和結果細節等API。
- [新增推論節點](https://linkervision.gitbook.io/observ/zh-tw/deployment/add-a-new-inference-node.md)
- [疑難排解](https://linkervision.gitbook.io/observ/zh-tw/support/troubleshooting.md)
- [沒有畫面顯示問題](https://linkervision.gitbook.io/observ/zh-tw/support/troubleshooting/no-image-display-issues.md)
- [AI 偵測問題](https://linkervision.gitbook.io/observ/zh-tw/support/troubleshooting/ai-detection-issues.md)
- [沒有偵測到事件？](https://linkervision.gitbook.io/observ/zh-tw/support/troubleshooting/no-events-detected.md)
- [Live 畫面播放緩慢或卡頓問題](https://linkervision.gitbook.io/observ/zh-tw/support/troubleshooting/slow-or-laggy-live-stream.md)
- [常見問題](https://linkervision.gitbook.io/observ/zh-tw/support/faq.md)
- [使用量與計費](https://linkervision.gitbook.io/observ/zh-tw/observ-usage/usage-and-billing.md)
- [2026/10/07 發布](https://linkervision.gitbook.io/observ/zh-tw/updates/20261007-fa-bu.md): v4.1.0
- [2026/08/05 發布](https://linkervision.gitbook.io/observ/zh-tw/updates/release-2026-08-05.md): v4.0.5
- [2026/05/14 發布](https://linkervision.gitbook.io/observ/zh-tw/updates/release-2026-05-14.md): v3.9.3
- [2026/02/25 發布](https://linkervision.gitbook.io/observ/zh-tw/updates/release-2026-02-25.md): v3.8.4
- [2025/12/16 發布](https://linkervision.gitbook.io/observ/zh-tw/updates/release-2025-12-16.md): v3.7.2
- [2025/08/27 發布](https://linkervision.gitbook.io/observ/zh-tw/updates/release-2025-08-27.md): v3.6.2
- [2025/6/16 發布](https://linkervision.gitbook.io/observ/zh-tw/updates/realease-2025-6-16-target.md): v3.5.3
- [2025/4/10 發布](https://linkervision.gitbook.io/observ/zh-tw/updates/realease-2025-4-10.md): v3.4.1
- [2025/1/8 發布](https://linkervision.gitbook.io/observ/zh-tw/updates/realease-2025-1-8.md): v3.3.3
- [2024/11/12 發布](https://linkervision.gitbook.io/observ/zh-tw/updates/release-2024-11-12.md): v3.2.2
- [2024/09/18 發布](https://linkervision.gitbook.io/observ/zh-tw/updates/release-2024-09-18.md): v3.1.1
- [2024/08/06 發布](https://linkervision.gitbook.io/observ/zh-tw/updates/release-2024-08-06.md): v3.0.0
- [2024/05/13 發布](https://linkervision.gitbook.io/observ/zh-tw/updates/release-2024-05-13.md): v2.7.1


---

# Agent Instructions
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Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

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