/ proprietary product

Vaisek

Your vision, powered by AI.

Process up to 64 RTSP cameras at the same time with GPU acceleration. Smart surveillance with a no-code visual editor and real-time automatic detection.

64
Simultaneous cameras
95%
GPU processing
100ms
Latency
Zero
Code required

/ where the name comes from

The VAISEK acrostic

The name VAISEK brings together fundamental AI concepts and the systems we build.

01 / 05Vision

Computer vision: the ability to "see" and interpret images in real time.

/ the shift

Reinventing intelligent surveillance

The problem

Traditional surveillance systems are limited, complex and expensive. They process few cameras, require advanced programming and perform poorly.

The solution

Vaisek turns any camera system into AI surveillance, with high-throughput processing and a no-code visual editor.

/ highlights

Built to scale.

Extreme performance

95% of processing on the GPU. Up to 64 simultaneous RTSP cameras with under 100ms latency.

No-code visual editor

Build complex AI pipelines without coding, by dragging and dropping components.

Built-in advanced AI

Detection of people, vehicles, PPE, weapons and custom objects with optimized ONNX models.

Unlimited scalability

From 1 to 64+ cameras with the same ease. Add a camera with one click, without reconfiguring anything.

Powerful integrations

Connect to any API, database, notification system or existing platform.

Integrated marketplace

Ready-to-use AI models, scripts and integrations that you can buy, sell and customize.

/ specifications

Technology under the hood

Performance

  • 64 simultaneous RTSP cameras
  • 95% processing on GPU
  • 100ms end-to-end latency
  • CPU usage around 20%

Artificial intelligence

  • ONNX Runtime + CUDA
  • YOLOv5 and YOLOv8 supported
  • Custom models
  • Hot-reload with no downtime

Processing

  • Hardware decode (NVDEC)
  • H.264 / H.265 supported
  • Resolution up to 4K
  • Zero-copy architecture

Requirements

  • NVIDIA GTX 1660+ (6GB VRAM)
  • Windows 10/11 64-bit
  • 16GB RAM (32GB recommended)
  • CUDA 12.4+

/ let's build

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