Planet AIS-1000 — NDAA/TAA-Compliant AI Surveillance Station on Raspberry Pi 5 with Hailo-8L

Specifications

Overview

The Planet Technology AIS-1000 is a compact AI surveillance appliance built on a Raspberry Pi 5 with a Hailo-8L accelerator and a 1TB NVMe SSD in a metal enclosure measuring 88.7 x 68.2 x 41 mm. The hardware combination — quad Cortex-A76 cores at 2.4 GHz, 8 GB of LPDDR4X, 13 TOPS of Hailo inference and on-board NVMe recording — is unremarkable on its own; the product's value proposition is compliance.

The AIS-1000 is certified NDAA and TAA compliant, which is what allows it into US government, defence, critical-infrastructure and regulated-security deployments where provenance of components and software is a procurement gate rather than a technical preference. The price reflects that: the station lists at $3,640, against an estimated $400–$500 in equivalent hardware, with the balance covering compliance, custom software development and the niche-market margin.

Functionally it operates as an NVR handling up to eight RTSP IP cameras, streaming sub-streams at 704 x 576 and 10 FPS and recording up to 1080p at 25/30 FPS per channel. The AI video analytics cover parking management, human detection with line crossing, area intrusion and crowd counting, pet detection, face recognition with whitelist and blacklist support, industrial safety checks for helmets and vests, and fire and smoke detection. An LLM-based intelligent video search runs over recorded footage. Management is through a web interface on the device itself covering configuration, live view, AI search, model upload and update, and user access; each unit runs its own interface rather than reporting to a cloud dashboard.

Key Benefits

NDAA and TAA compliance in a compact appliance clears procurement for government and critical-infrastructure projects. Hailo-8L at 13 TOPS with an 8 GB Raspberry Pi 5 runs inference on-box with no cloud dependency. 1 TB NVMe SSD and 8-channel RTSP support cover recording without external storage. Broad AI analytics including face recognition, industrial PPE checks and fire/smoke detection in one appliance. 27 W maximum consumption in an 88.7 x 68.2 x 41 mm metal enclosure installs almost anywhere, including inside camera housings and small cabinets.

Applications

Government and defence site surveillance, critical infrastructure monitoring, regulated security deployments requiring NDAA/TAA provenance, industrial safety enforcement with PPE detection, parking and access control analytics, retail and campus security, and edge video analytics where cloud transmission is prohibited.

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