Sighthound Compute Hardware

Smarter Video Analytics Starts at the Edge

Run real-time AI on-device; no cloud, no delays. Sighthound Compute Hardware helps security teams, parking operators, and enforcement agencies turn video into instant decisions.

Want to test it? Ask us about trial kits.

About Our Hardware

Built for the Real World. Ready for Your Software.

Sighthound Compute devices combine powerful AI processing with rugged industrial design. Whether you're retrofitting an existing IP camera network or deploying new infrastructure, our edge devices provide fast, flexible, and secure computer vision, right where video is captured.

Better Tech

  • IP67–IP69K protection against dust, water, and weather

  • High-resolution imaging sensors

  • Passive thermal design, fanless operation

  • Built-in NVIDIA GPU (up to 256 CUDA cores)

  • Docker-ready and OTA configurable

Better Product

  • Designed and assembled in the USA

  • Short lead times, reliable inventory

  • Responsive technical support team

  • Proven in parking, public safety, retail, and logistics

Better Software

  • Deploy Sighthound ALPR+ or your own Linux-based apps

  • Supports TensorFlow, CuDNN, and other frameworks

  • Compatible with existing RTSP/IP cameras

  • No server needed, runs fully at the edge

  • API-ready for third-party integration

Use Cases

  • Parking Management & Enforcement

    Parking Management & Enforcement

    Detect overstay, manage EV sessions, match license plates to payment zones, all without cloud.

  • Gate Access & Automated Entry

    Gate Access & Automated Entry

    Trigger access control systems using license plate detection and vehicle verification.

  • Traffic & Transportation Analytics

    Traffic & Transportation Analytics

    Understand vehicle flow, enforce restricted lanes, and conduct safety studies at the curb.

  • Retail & Campus Security

    Monitor lots, entrances, and delivery zones. Trigger alerts for unauthorized access or suspicious activity

  • Public Safety & Law Enforcement

    Process evidence, track suspects, or enforce time-based rules with rugged, portable edge units.

Advanced Edge Computing & AI Devices

Sighthound Compute Camera 4

The Sighthound Compute Camera 4 combines a 4K Sony STARVIS imaging sensor with an onboard GPU, enabling real-time ALPR+ and object detection without external servers. Designed for harsh conditions and low-latency analytics, it’s ideal for fixed installations in parking, perimeter, and enforcement applications.

Key Features:

  • 8.3MP Sony STARVIS IMX 334 Sensor

  • Motorized zoom lens options: TL410P (4–10mm) or TL1250P (12–50mm)

  • Up to 4TB NVMe SSD storage

  • IP67-rated, passively cooled

  • Runs Sighthound ALPR+ or Docker-based custom apps

  • PoE+ powered, OTA service-ready

download datasheet

Sighthound Compute Node 5

Plug-and-Play AI for Parking, Security, and More

The Sighthound Compute Node 5 is a rugged, drop-in edge compute device that converts your existing IP cameras into intelligent enforcement tools. It delivers high-accuracy ALPR+ and vehicle analytics, no cloud required.

Key Features:

  • Real-time ALPR+ with Make, Model, Color, Generation (MMCG)

  • Works with any IP camera (RTSP)

  • Supports up to 4 streams in Super Mode (40W)

  • Built on NVIDIA Orin NX or Nano

  • Docker-based, API-ready for custom integrations

Ideal For:

  • Law enforcement and public safety

  • Parking enforcement automation

  • Gate access control

  • EV charging zone compliance

  • Overstay and time violation detection

  • Permit and payment zone verification

Download Datasheet

Built to be flexible.

Proven. Powerful. Modular. Made in the USA.

NVIDIA

Sighthound Compute devices are built around our 3rd-generation Sighthound Compute Board, featuring a quad-core ARM CPU and 256-core NVIDIA GPU. The CPU provides unmatched flexibility to run bare-metal, Docker, or Kubernetes Linux applications anywhere.

The onboard GPU enables running complex neural networks, including Sighthound ALPR+ vehicle and license plate recognition, as well as other open-source, in-house, or third-party computer vision and AI solutions. The Compute Board also supports flexible, modular expansion with integrated cameras, lenses, NVMe storage, and USB devices.

  • Quad-core ARM CPU

  • 256-core NVIDIA GPU

  • Up to 4TB of storage

  • Deploy Linux apps

  • Deploy Computer Vision


Frequently Asked Questions

For more frequently asked questions about Sighthound Hardware and other Sighthound solutions, check out our Frequently Asked Questions page.

If you do not see the answer you are looking for, contact our experts.

Sighthound Hardware

  • Sighthound Compute Cameras are specifically designed for outdoor surveillance and parking lot applications, offering a rugged IP67-rated design that can withstand harsh environments. With customizable lens options, they provide excellent coverage and deliver high-quality images. Sighthound Compute Cameras can be easily mounted on parking lot light poles, at entry points of parking lots or garages, and in other strategic locations. In addition to their a ility to run an Linux applications, advanced features include license plate recognition, vehicle, and people detection, counting, and tracking, enabling enhanced security, efficient space management, and improved traffic management.

  • Yes! With the Sighthound Compute Node, you can transform your existing non-smart network camera into an intelligent device. Sighthound Compute Node integrates seamlessly with your deployed camera by processing the RTSP stream in real-time and providing real-time results at the edge.

    This allows you to enhance your existing camera infrastructure and gain valuable insights without the need for costly camera replacements.

  • Yes! The Sighthound Compute Board in our hardware products feature ARM CPU cores and NVIDIA GPU cores, and run a Linux-based software stack with the capability to run any Docker containers. This lets you to deploy and run your software directly on the camera.

    On the Compute Camera you can leverage the real-time stream provided by the onboard image sensor to capture and process data in real-time. On the Compute Node yTu can do the same with any source RTSP stream.

    Tis opens up possibilities for a wide range of applications, such as real-time event detection, object tracking, and custom analytics.

  • Our hardware solutions are built with ease of integration in mind, allowing for seamless deployment and minimal disruption to your operations.

    The devices support standard network protocols and are compatible with the most common, if not all, network infrastructures. They can be easily connected to your network and integrated into your existing system. Our devices offer remote management capabilities, enabling you to conveniently configure and monitor them from a centralized location.

  • Sighthound hardware utilizes the power of edge computing by processing data and running AI algorithms directly on the devices themselves, at the edge of your network. This significantly minimizes latency, improves responsiveness, and reduces reliance on constant network connectivity. With Sighthound Hardware, you can make critical decisions in real-time, ensure continuity of operations even in unreliable network conditions, and effectively manage and analyze your visual data without overwhelming your network infrastructure.

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