# 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) Trigger Card](https://linkervision.gitbook.io/observ/advanced-features/custom-detection-events-beta/event-component-trigger-card.md)
- [Build a VLM Detection](https://linkervision.gitbook.io/observ/advanced-features/vlm-playground-beta.md)
- [Build a VLM Flow Detection](https://linkervision.gitbook.io/observ/advanced-features/vlm-event-based-detection-beta.md)
- [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)
- [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.
- [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](https://linkervision.gitbook.io/observ/api-document/v2-api-and-websocket/event.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)
- [Organization and User](https://linkervision.gitbook.io/observ/api-document/v2-api-and-websocket/organization-and-user.md)
- [Compute Target](https://linkervision.gitbook.io/observ/api-document/v2-api-and-websocket/compute-target.md)
- [VLM Template](https://linkervision.gitbook.io/observ/api-document/v2-api-and-websocket/vlm-template.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)
- [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 2026/07/14 (Target)](https://linkervision.gitbook.io/observ/updates/release-2026-07-14-target.md): v3.10.x
- [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
- [適用於 Observ 的技術規格](https://linkervision.gitbook.io/observ/zh-tw/tech/shi-yong-wu-observ-de-ji-shu-gui-ge.md): VisionAI Observ 智慧偵測平台，部署於Kubernetes架構之上，支援地端運算與雲端解決方案，透過瀏覽器將攝影機建立連結之後，即可開始AI偵測任務。
- [建立您的第一個任務](https://linkervision.gitbook.io/observ/zh-tw/general/jian-li-nin-de-di-yi-ge-ren-wu.md): VisionAI Observ 智慧偵測平台，提供即時監控分析及事件通知，結合AI模型訓練，增進不同領域的工作效率。
- [偵測任務概覽](https://linkervision.gitbook.io/observ/zh-tw/general/zhen-ce-ren-wu-gai-lan.md): VisionAI Observ 智慧偵測平台提供清楚的瀏覽畫面，包含即時影像、清單、地圖以及各種細節資訊，讓您隨時隨地對運行中的任務一覽無遺。
- [查看AI偵測事件紀錄](https://linkervision.gitbook.io/observ/zh-tw/general/cha-kan-ai-zhen-ce-shi-jian-ji-lu.md): VisionAI Observ 智慧偵測平台，提供AI偵測紀錄事件截圖與錄影，讓您隨時瀏覽紀錄，不錯過任何發生的事件。
- [查看任務設定](https://linkervision.gitbook.io/observ/zh-tw/general/cha-kan-ren-wu-she-ding.md): VisionAI Observ 智慧偵測平台，提供AI偵測事件截圖與錄影，讓您隨時瀏覽紀錄，不錯過任何發生的事件。
- [查看AI即時偵測串流](https://linkervision.gitbook.io/observ/zh-tw/general/cha-kan-ai-ji-shi-zhen-ce-chuan-liu.md): VisionAI Observ 智慧偵測平台，提供AI偵測即時串流影像，並紀錄事件截圖與錄影，讓您隨時瀏覽紀錄，不錯過任何發生的事件。
- [收到通知](https://linkervision.gitbook.io/observ/zh-tw/general/shou-dao-tong-zhi.md): VisionAI Observ 智慧偵測平台讓您隨時掌握任務狀態，瞭解事件最新消息。
- [設定AI偵測範圍（ROI）](https://linkervision.gitbook.io/observ/zh-tw/general/she-ding-ai-zhen-ce-fan-wei-roi.md): VisionAI Observ 智慧偵測平台，提供AI偵測範圍（ROI）設定，讓AI在各種不同的場合與攝影機角度之下，都能專注於想要的偵測區域。
- [設定事件區域 Edit Zone](https://linkervision.gitbook.io/observ/zh-tw/general/she-ding-shi-jian-qu-yu-edit-zone.md): VisionAI Observ 智慧偵測平台，提供禁區設定， 讓AI在各種不同的場合、不同的攝影機角度之下，都能客製化您期望的事件區域。
- [設定AI偵測信賴度](https://linkervision.gitbook.io/observ/zh-tw/general/she-ding-ai-zhen-ce-xin-lai-du.md): VisionAI Observ 智慧偵測平台，提供AI偵測信賴度的調整，讓您在不同情境運用時，也能對AI模型進行調整修正。
- [設定AI偵測事件參數](https://linkervision.gitbook.io/observ/zh-tw/general/she-ding-ai-zhen-ce-shi-jian-can-shu.md): VisionAI Observ 智慧偵測平台，提供AI偵測事件參數調整，彈性設定各種事件觸發的條件，讓您在不同應用不受限於系統的設定。
- [收集您專屬的AI數據資料](https://linkervision.gitbook.io/observ/zh-tw/general/shou-ji-nin-zhuan-shu-de-ai-shu-ju-zi-liao.md): VisionAI Observ 智慧偵測平台系統能自動收集AI數據資料，透過平日任務攝影機的自動影像擷取，替您在未來訓練AI模型時做準備。
- [管理地點與攝影機](https://linkervision.gitbook.io/observ/zh-tw/general/guan-li-di-dian-yu-she-ying-ji.md): VisionAI Observ 智慧偵測平台系統提供攝影機管理介面，依照地點分門別類，瞭解所有攝影機的資訊。
- [查看歷史事件紀錄](https://linkervision.gitbook.io/observ/zh-tw/general/cha-kan-li-shi-shi-jian-ji-lu.md): VisionAI Observ 智慧偵測平台紀錄所有的事件，瞭解過去發生的事件趨勢及分佈，協助您做規劃與策略管理，讓您對未來更加從容。
- [查看歷史事件的統計分析](https://linkervision.gitbook.io/observ/zh-tw/general/cha-kan-li-shi-shi-jian-de-tong-ji-fen-xi.md): VisionAI Observ 智慧偵測平台紀錄所有的事件，透過數據統計圖表，瞭解過去發生的事件趨勢及分佈，協助您做規劃與策略管理，讓您對未來更加從容。
- [管理組織及使用者](https://linkervision.gitbook.io/observ/zh-tw/general/guan-li-zu-zhi-ji-shi-yong-zhe.md): 組織及VisionAI Observ 智慧偵測平台協助您管理平使用者，安全建立新成員，讓所有操作一目了然。
- [個人化設定](https://linkervision.gitbook.io/observ/zh-tw/general/ge-ren-hua-she-ding.md): VisionAI Observ 智慧偵測平台提供個人設定與多國語言模式，讓世界各地的使用者都能無障礙瀏覽。
- [系統設定及資源](https://linkervision.gitbook.io/observ/zh-tw/advanced/xi-tong-she-ding-ji-zi-yuan.md): VisionAI Observ 智慧偵測平台系統能管理當前機器集資源及了解運用狀況，有效利用現有的資源，發揮運算最大化。
- [輸出資料至DataVerse](https://linkervision.gitbook.io/observ/zh-tw/advanced/shu-chu-zi-liao-zhi-dataverse.md): VisionAI Observ 智慧偵測平台系統能將資料輸出至DataVerse-資料中心，讓您在上面篩選取樣圖片，進行AI模型訓練，讓您的AI模型持續進化。
- [管理AI模型庫](https://linkervision.gitbook.io/observ/zh-tw/advanced/guan-li-ai-mo-xing-ku.md): VisionAI Observ 智慧偵測平台系統管理您的AI模型庫，隨時匯入最新AI模型，讓您的偵測保持最佳狀態。
- [客製化專屬場景](https://linkervision.gitbook.io/observ/zh-tw/advanced/ke-zhi-hua-zhuan-shu-chang-jing.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。
- [添加自定義事件](https://linkervision.gitbook.io/observ/zh-tw/advanced/tian-jia-zi-ding-yi-shi-jian-beta.md): VisionAI Observ 智慧偵測平台系統能自定義偵測事件，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/tian-jia-zi-ding-yi-shi-jian-beta/shi-jian-yuan-jian-wu-jian-ka.md)
- [(事件元件) 區域卡](https://linkervision.gitbook.io/observ/zh-tw/advanced/tian-jia-zi-ding-yi-shi-jian-beta/shi-jian-yuan-jian-qu-yu-ka.md)
- [(事件元件) 邏輯卡](https://linkervision.gitbook.io/observ/zh-tw/advanced/tian-jia-zi-ding-yi-shi-jian-beta/shi-jian-yuan-jian-luo-ji-ka.md)
- [(事件元件) 邏輯閘 With](https://linkervision.gitbook.io/observ/zh-tw/advanced/tian-jia-zi-ding-yi-shi-jian-beta/shi-jian-yuan-jian-luo-ji-ka/shi-jian-yuan-jian-luo-ji-zha-with.md)
- [(事件元件) 邏輯閘 Overlap](https://linkervision.gitbook.io/observ/zh-tw/advanced/tian-jia-zi-ding-yi-shi-jian-beta/shi-jian-yuan-jian-luo-ji-ka/shi-jian-yuan-jian-luo-ji-zha-overlap.md)
- [(事件元件) 邏輯閘 OR](https://linkervision.gitbook.io/observ/zh-tw/advanced/tian-jia-zi-ding-yi-shi-jian-beta/shi-jian-yuan-jian-luo-ji-ka/shi-jian-yuan-jian-luo-ji-zha-or.md)
- [(事件元件) 邏輯閘 NOT](https://linkervision.gitbook.io/observ/zh-tw/advanced/tian-jia-zi-ding-yi-shi-jian-beta/shi-jian-yuan-jian-luo-ji-ka/shi-jian-yuan-jian-luo-ji-zha-not.md)
- [(事件元件) 邏輯閘 AND](https://linkervision.gitbook.io/observ/zh-tw/advanced/tian-jia-zi-ding-yi-shi-jian-beta/shi-jian-yuan-jian-luo-ji-ka/shi-jian-yuan-jian-luo-ji-zha-and.md)
- [(事件元件) 邏輯閘 Object Tag](https://linkervision.gitbook.io/observ/zh-tw/advanced/tian-jia-zi-ding-yi-shi-jian-beta/shi-jian-yuan-jian-luo-ji-ka/shi-jian-yuan-jian-luo-ji-zha-object-tag.md)
- [(事件元件) 邏輯閘 Counting](https://linkervision.gitbook.io/observ/zh-tw/advanced/tian-jia-zi-ding-yi-shi-jian-beta/shi-jian-yuan-jian-luo-ji-ka/shi-jian-yuan-jian-luo-ji-zha-counting.md)
- [(事件元件) 觸發卡](https://linkervision.gitbook.io/observ/zh-tw/advanced/tian-jia-zi-ding-yi-shi-jian-beta/shi-jian-yuan-jian-chu-fa-ka.md)
- [影片偵測任務](https://linkervision.gitbook.io/observ/zh-tw/advanced/ying-pian-ren-wu-beta.md): VisionAI Observ 讓您可以透過影片偵測任務，重複實驗所需要的參數和設定。
- [建立 VLM 偵測](https://linkervision.gitbook.io/observ/zh-tw/advanced/jian-li-vlm-zhen-ce.md)
- [建立 VLM Flow 流程偵測](https://linkervision.gitbook.io/observ/zh-tw/advanced/jian-li-vlm-flow-liu-cheng-zhen-ce.md): 建議建立偵測ㄌ流程
- [電子圍籬](https://linkervision.gitbook.io/observ/zh-tw/detection/dian-zi-wei-li.md): VisionAI Observ 智慧偵測平台提供電子圍籬為AI偵測場景，當人員或車輛進入限制區時觸發事件。
- [火焰及煙霧偵測](https://linkervision.gitbook.io/observ/zh-tw/detection/huo-yan-ji-yan-wu-zhen-ce.md): VisionAI Observ 智慧偵測平台提供AI火焰及煙霧偵測，當監視區內偵測到火焰及煙霧時觸發事件。
- [PPE 個人防護具偵測](https://linkervision.gitbook.io/observ/zh-tw/detection/ppe-ge-ren-fang-hu-ju-zhen-ce.md): VisionAI Observ 智慧偵測平台提供PPE個人防護具偵測，辨識個人防護裝備是否符合規定。
- [通道異物偵測](https://linkervision.gitbook.io/observ/zh-tw/detection/tong-dao-yi-wu-zhen-ce.md): VisionAI Observ 智慧偵測平台提供通道異物偵測，檢測通道是否有障礙物存在。
- [鏽蝕損壞偵測](https://linkervision.gitbook.io/observ/zh-tw/detection/xiu-shi-sun-huai-zhen-ce.md): VisionAI Observ 智慧偵測平台提供鏽蝕損壞偵測，檢測金屬表面的鏽蝕或腐蝕損壞跡象，顯示可能存在的結構問題。
- [行人及車輛流量計數](https://linkervision.gitbook.io/observ/zh-tw/detection/xing-ren-ji-ju-liang-liu-liang-ji-shu.md): VisionAI Observ 智慧偵測平台提供行人及車輛流量計數，了解特定路段的行人安全及交通流量。
- [違規停車](https://linkervision.gitbook.io/observ/zh-tw/detection/wei-gui-ting-ju.md): VisionAI Observ 智慧偵測平台提供違規停車偵測，識別停放在禁止區域的車輛。
- [違規使用路線](https://linkervision.gitbook.io/observ/zh-tw/detection/wei-gui-shi-yong-lu-xian.md): VisionAI Observ 智慧偵測平台提供違規使用路線偵測，檢測違規進入或停在自行車或公車道的車輛。
- [車輛故障](https://linkervision.gitbook.io/observ/zh-tw/detection/ju-liang-gu-zhang.md): VisionAI Observ 智慧偵測平台提供車輛故障偵測，辨識路上故障的車輛，以便快速回應並減少交通干擾。
- [客流計數](https://linkervision.gitbook.io/observ/zh-tw/detection/ke-liu-ji-shu.md): VisionAI Observ 智慧偵測平台提供客流計數，了解當日商店中的顧客人數。。
- [排隊狀況監控](https://linkervision.gitbook.io/observ/zh-tw/detection/pai-dui-zhuang-kuang-jian-kong.md): VisionAI Observ 智慧偵測平台提供行人及車輛流量計數，了解結帳櫃檯的排隊情況，以優化員工配置。
- [API 設置](https://linkervision.gitbook.io/observ/zh-tw/api-doc/api-she-zhi.md)
- [V1 API & WebSocket](https://linkervision.gitbook.io/observ/zh-tw/api-doc/v1-api-and-websocket.md)
- [事件 Event](https://linkervision.gitbook.io/observ/zh-tw/api-doc/v1-api-and-websocket/shi-jian-event.md): 提供即時連接方式及歷史紀錄事件API。
- [任務 Task](https://linkervision.gitbook.io/observ/zh-tw/api-doc/v1-api-and-websocket/ren-wu-task.md): 提供任務清單及細節API。
- [攝影機 Camera](https://linkervision.gitbook.io/observ/zh-tw/api-doc/v1-api-and-websocket/she-ying-ji-camera.md): 提供攝影機清單及細節API。
- [地點 Location](https://linkervision.gitbook.io/observ/zh-tw/api-doc/v1-api-and-websocket/di-dian-location.md): 提供地點清單及細節API。
- [組織 Organization](https://linkervision.gitbook.io/observ/zh-tw/api-doc/v1-api-and-websocket/zu-zhi-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-doc/v1-api-and-websocket/ji-suan-mu-biao-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-doc/v1-api-and-websocket/vlm-yang-ben-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-doc/v1-api-and-websocket/ying-pian-zhen-ce-video-detection.md): 提供影片偵測方法，和結果細節等API。
- [更新說明](https://linkervision.gitbook.io/observ/zh-tw/support/updates.md)
- [2026/07/14 發布 (預計)](https://linkervision.gitbook.io/observ/zh-tw/support/updates/20260714-fa-bu-yu-ji.md)
- [2026/05/14 發布](https://linkervision.gitbook.io/observ/zh-tw/support/updates/20260514-fa-bu.md)
- [2026/02/25 發布](https://linkervision.gitbook.io/observ/zh-tw/support/updates/20260225-fa-bu.md): 預計
- [2025/12/16 發佈](https://linkervision.gitbook.io/observ/zh-tw/support/updates/20251216-fa-bu.md)
- [2025/8/27 發布](https://linkervision.gitbook.io/observ/zh-tw/support/updates/20250819.md)
- [2025/6/16 發布](https://linkervision.gitbook.io/observ/zh-tw/support/updates/realease-2025-6-16-target.md)
- [疑難排解](https://linkervision.gitbook.io/observ/zh-tw/support/yi-nan-pai-jie.md): 沒有畫面疑難排解
- [解決沒有畫面的問題](https://linkervision.gitbook.io/observ/zh-tw/support/yi-nan-pai-jie/jie-jue-mei-you-hua-mian-de-wen-ti.md)
- [AI模型沒有正常偵測](https://linkervision.gitbook.io/observ/zh-tw/support/yi-nan-pai-jie/ai-mo-xing-mei-you-zheng-chang-zhen-ce.md)
- [為何沒有事件](https://linkervision.gitbook.io/observ/zh-tw/support/yi-nan-pai-jie/wei-he-mei-you-shi-jian.md)
- [播放Live畫面的速度或卡頓問題](https://linkervision.gitbook.io/observ/zh-tw/support/yi-nan-pai-jie/bo-fang-live-hua-mian-de-su-du-huo-ka-dun-wen-ti.md)
- [FAQs](https://linkervision.gitbook.io/observ/zh-tw/support/faqs.md)
- [攝像機解析度只有1080p可以支持嗎？](https://linkervision.gitbook.io/observ/zh-tw/support/faqs/she-xiang-ji-jie-xi-du-zhi-you-1080p-ke-yi-zhi-chi-ma.md)
- [AI信心閾值和偵測閾值有什麽區別？](https://linkervision.gitbook.io/observ/zh-tw/support/faqs/ai-xin-xin-yu-zhi-he-zhen-ce-yu-zhi-you-shen-mo-qu-bie.md)
- [平臺上看到即時的推論為什麽一會就停了?](https://linkervision.gitbook.io/observ/zh-tw/support/faqs/ping-tai-shang-kan-dao-ji-shi-de-tui-lun-wei-shen-mo-yi-hui-jiu-ting-le.md)
- [ROI、禁區及排除區域等各種區域的區別](https://linkervision.gitbook.io/observ/zh-tw/support/faqs/roi-jin-qu-ji-pai-chu-qu-yu-deng-ge-zhong-qu-yu-de-qu-bie.md)
- [突然不想偵測某類事件了，可以停止嗎？](https://linkervision.gitbook.io/observ/zh-tw/support/faqs/tu-ran-bu-xiang-zhen-ce-mou-lei-shi-jian-le-ke-yi-ting-zhi-ma.md)


---

# Agent Instructions
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## Querying This Documentation
If you need additional information, you can query the documentation dynamically by asking a question.
Perform an HTTP GET request on a page URL with the `ask` query parameter:
```
GET https://linkervision.gitbook.io/observ/readme.md?ask=<question>
```
The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.
Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.