Brinq’s highly scalable edge runtime architecture combines smart camera capabilities with real-time vision AI powered analytics for people, vehicles, packages and inspection.
Our on-device edge runtime eliminates latency, reduces bandwidth, and ensures data stays secure and local.
Brinq’a vision AI analytics provide mission critical KPIs you can trust by combining multiple AI models, algorithms, industry leading IP and proprietary optimizations.
Our experts are always in the loop to fill the gap between PoC and production by providing data science expertise, analytics development and integration support.
Our Acusight dashboard provides tools to scale and manage your deployment with live factory-floor views, stack management, orchestration, integration APIs, and a no-code framework for data and model management.
State-of-the-art inference is only the start of intelligence.
Model and runtime enablement using a scalable containerized microservices pipeline architecture
Edge NPU and GPU acceleration using NXP, VeriSilicon, Nvidia and Kinara
RGB and RGBD vision analysis for inspection and analytics
Intrusion, counting, proximity, crowds, face verification; clothing characterization, PPE, age, gender, emotion, action, behavior
Package monitoring and abandoned package detection with owner identification
License Plate Recognition (LPR), vehicle type and make characterization
Industry leading tracking solutions including long-term and multicamera reidentification
Real-time depth and volumetric analysis for road, rail or industrial inspection
Detection zones, boundaries, real-time notifications, timeline visualization and analyst workflows
Arcturus offers scalable, modular edge AI hardware using processors from NXP, NVIDIA and Kinara with accelerated runtime support for TensorFlow Lite, TensorRT and Arm NN.
Atlas is a scalable edge inference platform that uses NPUs and GPUs to support up to 23.3 TOPs of ML acceleration. The platform uses SoCs from NXP and NVIDIA with up to 10x Arm v8 CPU cores, 16GB of SDRAM and up to 1TB of on-board storage. Brinq Edge AI and Vision analytics platform software is available for real-time analysis, SDK level access, component enablement and full-stack solutions.
The NavQPlus Smart Camera is a turn-key solution for developing vision applications at the edge. It features NXP’s quad-core i.MX 8M Plus CPU with a 2.3 TOPS NPU and a 5MP OV5645 camera sensor all in a compact 80 x 90mm module. Brinq Smart Camera software transforms the NavQPlus into a full-featured smart camera system with a comprehensive web dashboard and on-board analytics for boundary crossing, people counting, tracking, reidentification, motionless and loitering behaviour.
The uCIMX93 module is a dual-core, low-power Linux platform ideal for smart vision sensors, HMI, display and control applications. It uses NXP’s i.MX 93 microprocessor with on-board Ethos®-U65 microNPU, 2D graphics accelerator, plus display, camera and connectivity interfaces in a compact 68x40mm SMARC compatible module format.
Learn more about how Brinq can help you.
Whether you want to do-it-yourself or have a project that needs access to our specialized resources, Arcturus offers low-cost development kits or tailored engagements to help you get moving quickly.
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