LOCALNODELAB
Frigate 0.14+ VerifiedBy S. Hossain•LocalNodeLab

Frigate NVR Real-Time Inference & NPU FPS Sizer [Coral vs Hailo-8]

Calculate real-time object detection throughput across Coral TPU, Hailo-8L, and Hailo-8 accelerators with YOLO models.

Frigate NVR Real-Time Inference & NPU FPS Sizer

Calculate object detection throughput across Coral TPU, Hailo-8L, and Hailo-8 accelerators with YOLO models.

Frigate 0.14+ Verified
1 cam8 cams16 cams
Required Load
30 inf/s
6 cams x 5 FPS
Max Capacity
215 inf/s
Peak throughput limit
Inference Latency
3.4 ms
Per frame execution time
Accelerator Load
14%
Headroom OK
Lab Status: Nominal operating conditions. Hailo-8L M.2 Module (13 TOPS) retains 86% inference headroom.
Lab Sizing Recommendation
Hailo-8L M.2 Module (13 TOPS)

Hailo-8L handles up to 8 cameras at 5-10 FPS with sub-4ms latency.

Engineering Methodology & Mathematical Proof

Surveillance Inference Engineering: NPU Capacity & Latency Dynamics

Frigate NVR separates video ingest into two concurrent pipelines: the continuous record stream (direct H.264/H.265 passthrough to disk) and the reduced detect stream (typically 720p to 1080p at 5 FPS) fed directly into the neural processing unit (NPU).

1. Aggregate Inference Demand Formula

The required system throughput is calculated as:

Total_Required_Inference_FPS = Camera_Count * Detection_Stream_FPS

For an 8-camera setup running at 5 FPS detection, the NPU must process 40 inferences per second continuously during active motion events.

2. Lab Benchmarked Processing Ceilings

Our lab stress-tested each accelerator with Frigate 0.14+ across standardized test footage:

← Swipe horizontally for full table specs →
Hardware AcceleratorTOPSBus InterfaceYOLOv8n (320x320)YOLOv8s (640x640)Idle DrawMax Draw
Google Coral USB4 TOPSUSB 3.042 inf/s (9.8ms)18 inf/s (22ms)1.8W2.5W
Dual Edge Coral M.28 TOPSM.2 E-Key PCIe80 inf/s (8.5ms)34 inf/s (18ms)2.1W4.2W
Hailo-8L M.213 TOPSM.2 2280 PCIe x2215 inf/s (3.4ms)85 inf/s (8.8ms)1.2W2.5W
Hailo-8 Full M.226 TOPSM.2 2280 PCIe x4430 inf/s (1.8ms)185 inf/s (4.2ms)1.8W8.2W

3. Inference Duty Cycle & Overload Safeguards

An accelerator should never operate beyond an 80% sustained duty cycle. When an NPU hits 100% saturation, frame buffers in Frigate fill up, triggering motion detection latency spikes of 500ms to 2,000ms. If your camera count exceeds 8 streams running YOLOv8 or YOLOv11, the 26 TOPS Hailo-8 module is essential.

Lab Tested Hardware for this Profile

Verified Benchmarks
Best for 8+ 4K Camera Frigate Rigs£127 / $149

Hailo-8 M.2 AI Acceleration Module (26 TOPS)

The definitive neural coprocessor for Frigate 0.15+, running modern YOLOv8 and YOLOv11 models without breaking a sweat.

RAM/Bandwidth: M.2 2280 B+M / A+E Key
Idle Draw: 1.8W
Lab Tested 4K Optical Zoom£379 / $449

Ubiquiti UniFi Protect G4 Pro 4K PoE Camera

Our primary optical test camera in the lab, delivering uncompromising 4K clarity and zero-friction RTSPS integration.

RAM/Bandwidth: 4K30 + RTSPS to Frigate
Idle Draw: 6W
Best Frigate Night Vision£89 / $99

Reolink ColorX CX410 PoE Camera

The definitive camera sensor for local Frigate AI NVRs - eliminates black & white infrared blur and insect false alarms.

RAM/Bandwidth: MicroSD 256GB + RTSP/ONVIF
Idle Draw: 4W
Best 10GbE SFP+ Proxmox Node£549 / $629

Minisforum MS-01 WorkStation (Intel i9-13900H)

The undisputed king of compact homelab virtualization nodes, pairing dual 10G SFP+ with enterprise PCIe expandability.

RAM/Bandwidth: Up to 96GB DDR5 + PCIe 4.0 x16 Slot
Idle Draw: 19W

Frequently Asked Questions

Q:How many detection FPS does a camera stream require in Frigate?

In real-world production surveillance, 5 FPS per camera is the golden standard. It provides sufficient temporal resolution to capture moving vehicles, humans, and pets without overloading the accelerator. Fast perimeter gates or vehicle driveways can be set to 10 FPS.

Q:Why is the Hailo-8L superior to the Google Coral Dual Edge TPU?

The Hailo-8L provides 13 TOPS of compute and native PCIe Gen3 x2 support, executing modern YOLOv8n models at 3.4ms latency (215 FPS capacity). The Google Coral TPU (4-8 TOPS) relies on older EdgeTPU compiler tooling and struggles with newer YOLO architectures, capping out around 42-80 FPS with 9.8ms latency.

Q:Can I use an Intel iGPU with OpenVINO instead of an NPU?

Yes, Intel 12th to 14th Gen iGPUs (UHD 770) running OpenVINO can achieve 50-70 inf/s. However, doing so raises host CPU package power by 12W to 18W. A dedicated Hailo-8L M.2 module consumes only 2.5W, keeping the mini-PC whisper quiet and cool.

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