LW IT Solutions
7 articles in this category
Follow this category by RSSWhich camera suits the location, how much storage does recording need, and how does the picture reach your network reliably? This section explores the questions behind a camera system. I explain how lenses, lighting, image quality and infrastructure fit together.
You will find posts on IP cameras, NVRs, bandwidth and recording capacity, along with Frigate object detection and Home Assistant integration. The examples help you weigh up the options for your own setup.
Eighteen retained H.264, H.265 and AV1 files reveal what a codec comparison can establish. Rechecked sizes and SSIM values separate measured results from estimated quality matches and unsupported real-time claims.
Frigate and Home Assistant can send a text notification when camera activity meets defined review rules. The guide explains zone checks, duplicate messages and delivery limits; lighting, sirens and media attachments require additional setup.
Planning camera storage and network capacity from measured bitrate, recording duration and RAID, with a worked example and practical acceptance checks.
A camera layout connects each position with a task, field of view and detail target. The tutorial distinguishes old DORI values from IEC 62676-4:2025 and checks lens geometry, mounting angle and recorded movement under different lighting.
A reliable RTSP check separates the server address, authentication, transport and recorded video. This tutorial explains device-specific paths, credential encoding, a bounded ffprobe test and separate Frigate inputs for detection and recording.
Coral capacity depends on actual inference calls, model timing and the surrounding video pipeline. A worked example separates estimated detector demand from measured performance and reliable camera capacity.
Pixels per metre connect image resolution with scene width. Calculations compare lenses, distinguish the 2014 and 2025 task scales and explain why lighting and motion still determine usable detail.
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