Equipment dectect app icon

Apps Like Equipment dectect for iPhone and iPad

Detect hidden cameras and devices

Detects suspicious electronic devices in a room to prevent unauthorized photography. Scans for hidden cameras and other monitoring . Provides visual alerts and detailed analysis of detected devices.

by 秋平 李★ 0.00 ratingsUtilitiesFreeData updated 2026-09-06
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Ranked alternatives

Showing 861–880 of 1,000 ranked alternatives.

  2. eyeview - UVC app icon

    eyeview - UVC

    Khary jackson

    Select device, view live video feed

    Displays real-time video feeds from connected UVC devices. Allows device discovery and selection. Adjusts resolution and frame rate manually. Automatically detects supported resolution and FPS. Monitors performance with frame rate tracking.

    ★ 0.00 ratingsPhoto & Video$24.99Data updated 2026-09-06
    App details
  4. Beacenov-Ear app icon

    Beacenov-Ear

    Shenzhen Mediaway information technology Co., Ltd.

    ★ 0.00 ratingsUtilitiesFreeData updated 2026-09-06
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  9. NetSpot: WiFi Analyzer app icon

    NetSpot: WiFi Analyzer

    Etwok Inc

    Analyze networks in real time

    Collect and analyze data on surrounding wireless networks. Visualize coverage with heatmaps and site surveys. Simulate future setups with predictive planning tools. Identify signal strength and interference sources.

    ★ 0.00 ratingsUtilitiesFreeData updated 2026-09-08
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  14. ioma app icon

    ioma

    Hangzhou Denghong Technology Co., Ltd.

    Stream video, control devices, receive alerts

    Stream live HD video from multiple cameras. Playback recorded footage. Use two-way audio for communication. Detect motion with AI analysis. View in low-light conditions. Receive customizable alerts. Integrate with smart home devices.

    ★ 0.00 ratingsUtilitiesFreeData updated 2026-09-06
    App details
  16. EoneBoss app icon

    EoneBoss

    Shenzhen EoneBoss Technology Co., LTD

    ★ 0.00 ratingsUtilitiesFreeData updated 2026-09-06
    App details

How we rank alternatives

Apps are ranked by functional similarity, category fit, rating confidence, and popularity.