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Community leaders and law enforcement agencies are dedicated to reducing crime and enhancing safety for residents across all settings, including local streets, public transportation, shopping centers, entertainment venues, school campuses, and medical facilities.

Lanner collaborates with IronYun to deliver AI-enabled video analytics solutions designed to enhance safety, security, and peace of mind for communities and cities of all sizes. By harnessing the power of advanced analytics from Lanner’s Edge AI appliances and IronYun’s Vaidio Video Analytics platform, the joint solution empowers local law enforcement, emergency response units, and community planners to effectively address crime prevention, emergency response, and urban development challenges. 

IronYun Vaidio AI Vision Platform

IronYun’s Vaidio is designed to make it both easy and cost effective to offer a comprehensive set of the world’s most advanced video analytics applications for safety, security, operations and beyond as subscription-based software-as-a-service. Every component of the Vaidio release, from Kubernetes integration, to analytics virtualization, to the Vaidio Service Portal, is designed to maximize ease of use and ease of service delivery, to minimize resource and operating costs, and to enable a scalable, on-demand, and auto-provisioning framework for enterprises, integrators, and service providers.

Key Applications

First Response Emergency response units benefit from people and vehicle counting, as well as smoke, fire, weapons, and PPE detection.		Law Enforcement Provides the intelligence needed to prevent crimes, including intrusion detection, forensic search, license plate and stolen vehicle recognition, and more.

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The prevalence of Video Management Systems (VMS) infrastructure has now reached a point where enterprises find it impractical to continuously monitor the overwhelming stream of video data around the clock. The demand for scalable, real-time video analysis stands as one of the primary catalysts driving the integration of AI into VMS infrastructure. Given the immense volumes of video data, more and more enterprise organizations are finding success using Milestone VMS solution in conjunction with edge AI technology deployed near the video cameras to enable intelligent video analytics (IVA) applications.

Lanner partners with Milestone to build an API gateway that eases the integration of intelligent video analytics (IVA) applications with the Milestone XProtect VMS. Pre-validated with Milestone AI Bridge, Lanner LEC-2290E, a NVIDIA-certified Edge AI appliance, can work as docker containers that enable the exchange of data between these IVA and VMS.

Deploy your AI/ML Pipeline in Minutes

Scailable drastically reduces edge-AI pipeline development time from months to hours. With Scailable, data scientists can independently iterate and optimize AI models, while the platform allows field operations teams to deploy new models across a diverse fleet of edge devices seamlessly, without the need for individual device re-engineering.

Hardware Independent Deployment Scailable can deploy the same AI model across different generation of AI hardware platform. For customer that have already deployed the Lanner’s EAI-I130 (Jetson Xavier) and want to add EAI-I131 (Jetson Orin) to the fleet going forward, Scailable automatically adjusts model versions, eliminating the need for embedded engineering. This streamlines time to market, optimizes hardware selection, and simplifies fleet management.		Over-the-Air Remote Management Customers managing a fleet of edge-AI devices in the field will benefit from Scailable for deploying AI models Over-the-Air as soon as models get updated. Scailable eliminates the need for chip-set specific custom development, and facilitates the maintenance across various generations of devices and AI chip-sets that might have been introduced in the fleet over time.

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The prevalence of Video Management Systems (VMS) infrastructure has now reached a point where enterprises find it impractical to continuously monitor the overwhelming stream of video data around the clock. The demand for scalable, real-time video analysis stands as one of the primary catalysts driving the integration of AI into VMS infrastructure. Given the immense volumes of video data, more and more enterprise organizations are finding success using Milestone VMS solution in conjunction with edge AI technology deployed near the video cameras to enable intelligent video analytics (IVA) applications.

Lanner partners with Milestone to build an API gateway that eases the integration of intelligent video analytics (IVA) applications with the Milestone XProtect VMS. Pre-validated with Milestone AI Bridge, Lanner LEC-2290E, a NVIDIA-certified Edge AI appliance, can work as docker containers that enable the exchange of data between these IVA and VMS.

Processing Server

Lanner LEC-2290E works as a processing server hosting Milestone AI Bridge and the IVA applications. Now user can integrate AI solutions into their customers’ existing camera infrastructure easily, resulting in a significantly faster installation time, especially critical for larger deployments that may span hundreds of cameras.

Milestone AI Bridge

Milestone AI Bridge is a MIP SDK developed using cloud-native technologies. It forwards video streams from cameras added to the XProtect VMS to the IVA applications for video analysis. Milestone AI Bridge allows the IVA applications to send the analysis results back into your XProtect VMS as analytics data (events, metadata, and video).

Results

As a result, users will have the capability to analyze their video content effortlessly through a user-friendly interface. By integrating AI into video analytics, the entire data gathered will evolve into valuable insights to enable proactive decision-making for various applications, such as risk prevention, real-time alerts, and investigations.

LEC-2290E

• Intel® Core™ i7 Processor (Coffee Lake)
• NVIDIA® A2 GPU Card Support
• 2x DDR4 2133/2400 SO-DIMM, Max. 32GB

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Retailers and manufacturers are using computer vision technology to uncover real-time insights into business operations. 

By deploying computer vision technology on existing cameras and sensor technology, customers are enhancing real-time monitoring and analysis of current video stream data to detect actions, images, and objects that might indicate potential safety issues or disruptions to business operations.
 
Lanner collaborates with Chooch to provide turnkey computer vision solutions that integrate Lanner Edge Appliance and Chooch ReadyNow Models to deliver an end-to-end computer vision platform, enabling customers to manage the entire AI lifecycle, including dataset management, annotation, model training, and synthetic data creation. 
 
The joint solution simplifies and accelerates computer vision deployment, ensuring that customers can realize value sooner.

 Benefits of Chooch's Computer Vision Platform

Chooch is a leading AI Vision platform that instantly detects specific visuals, objects, and actions in videos and images, especially critical anomalies, and immediately comprehends their significance and launches real-time preprogrammed responses – all in a fraction of the time it takes the human eye to notice an issue.

ReadyNow™AI Models Use pre-trained models designed for common use cases to kickstart AI deployment and efficiency		Low-Latency Edge Computing Process data more rapidly at the edge using an inference engine optimized for low frames per second environments		Active Continuous Learning Automate data collection from one or multiple devices and deploy models into production without requiring DevOps

Computer Vision Applications

Chooch delivers computer vision solutions to fortune 500 companies across multiple industries – manufacturing, public sector, retail, and telco with leading partners including Microsoft, Deloitte, NVIDIA, EY, and TDSynnex.

Retail Solutions Traffic flows tracking  People counting Customer demographics Dwell time analysis		Manufacturing Solutions Proper PPE usage, e.g. gloves, hardhats, and vests. Employee physical safety Go/no go zone access control for forklifts and people

LEC-2290E

NCA-6530

• Intel Core™ i7 Processor (Coffee Lake)
• NVIDIA A2 GPU Card Support
• 2x DDR4 2133/2400 SO-DIMM, Max. 32GB
• 2x RJ45 GbE LAN, 4x PoE, 4x USB3.0, 6x COM Ports, 8x DI & 8x DO
• 2x Removable HDD/SSD External Slot w/ RAID, 1x mSATA

• Intel® Xeon Processor Scalable Family ( Sapphire Rapids-SP)
• 24x 288-pin DDR5 4800MHz R-DIMM, Max. 1536GB
• 8x NIC Slots, 2x GbE RJ45, 1x RJ45 Console, 1x LOM, 2x USB 3.0
• 2x 2.5” HDD/SSD (SKU A & C)

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Due to the large amount of video data generated from multiple cameras, edge AI machine learning solutions are encountering real-time video performance issues with limitations in space, power, and cost. The solution: offload real-time multi-camera video analytics processing to an Edge Platform.

Lanner collaborates with SiMa.ai to build the Edge Platform, featuring Lanner Edge AI appliances LEC-2290 and EAI-I730, SiMa.ai’s Machine Learning System on a Chip (MLSoC), and Palette™ Edgematic Software Platform.

With pushbutton performance, we enable the most efficient Edge Machine Learning Platform by connecting a higher number of cameras per appliance, processing videos with a higher frame rate per second, and receiving higher resolution camera data.

Machine Learning System on a Chip (MLSoC) PCIe Board

The PCIe half-height, half-length production board is a versatile board that uses the SiMa.ai Machine Learning System on Chip (MLSoC) device.

PCIe form factor - Half-height, half-length Low power board - Typical 10-15W Machine learning accelerator (MLA) - up to 50 TOPS Application processing unit (APU) – 4x Arm Cortex-A65 processors Video encoder/decoder – supports the H.264 compression standards

Palette™ Edgematic Software Platform

SiMa.ai’s Palette™ software platform is designed for complete ML stack application development. The platform supports any ML workflow customers plan to deploy on the edge without compromising on performance and ease of use.

Palette Edgematic provides a graphical drag-and-drop approach to prototyping computer vision pipelines in minutes. Both Palette tools enable a pushbutton build methodology to eliminate the need for low-level hand coding in edge ML solutions.

LEC-2290A

EAI-I730

• Intel® Core™ i7/i9 & Intel® Xeon® E-2278GEL
• 2x RJ45, 4x PoE, 4x USB, 6x COM, 8x DIO
• 2x Removable HDD/SSD Drive
• 1x PCIe*16, 1x PCIe*4, 1x Mini-PCIe, 1x M.2

• 12^th Gen Intel Core i9/i7 Processor 
• 4x Removable 2.5”HDD/SSD
• 2x PCIe x4, 2x PCIe x16 slots
• 3x LAN, 2x COM, 4x DIO, 8x USB, DP, HDMI

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Real-time traffic video analytics, built on IoT and AI, allow for the collection and analysis of data to improve day-to-day traffic management, enabling a wide range of advanced applications, such as traffic flow analysis, smart traffic management, and violation detection, and assisting cities adapt for long-term sustainable transportation needs.

Lanner collaborates with GoodVision to provide a complete solution that features Lanner rugged edge AI appliances and GoodVision AI engine. Compatible with existing IP camera, the real-time Traffic Video Analytics solution is designed for analyzing camera streams on the fly, providing traffic monitoring and real-time event detection on roads and junctions.

Traffic Control

With GoodVision you can monitor traffic 24/7 and adjust traffic controllers in real-time with the most precise traffic data ever. Obtain just-in-time data about traffic volumes, vehicle events and violations. GoodVision’s live traffic analytics converts your road-side cameras to an ultimate traffic control system!

• Connect to your existing traffic cameras
• Deploy to your road-side sensors
• Receive real-time traffic events and alerts

LEC-2290E

EAI-I130B

• Intel Core i7-8700 Processor
• 32GB RAM / mSATA 128GB
• 2.5x256GB SSD Storage
• Nvidia A2 GPU / GVLT SW Pre-loaded

• NVIDIA Jetson Xavier NX
• 16GB RAM / 16GB eMMC
• 2x PoE, 1x COM,1x CAN
• M.2 for 5G Sub6 and WiFi

Sero trust Security

Easy to Use

HealthReport

Machine Learning

Remote Management

AI-based video analytics technology is finding its way into various application scenarios, and the two of the most popular applications are business intelligence and physical security. AI-optimized edge AI appliances and video management system can enable data processing from multi-stream videos, providing real-time decision-marking for your business or proactive responses from anomalous events.

Integrated with MiCAE video management system, Lanner provides industrial-grade Edge AI platforms powered by AI accelerators from NVIDIA and Hailo. These Edge AI platforms enable intelligent video analytics solutions with specific requirements for low-latency, high-throughput, and power efficiency in mission-critical video analytics applications. GPU-accelerated video management system can build the business intelligence and ensure safety of your critical assets efficiently and economically.

Micae Cloud Video Management System

Micae Cloud Video Management System is designed to analyze the videos streamed from multi-stream cameras from distributed sites, offering an intuitive user experience for video analytics. Featuring the advanced Machine Learning technology, Micae Video Management system analyzes all connected videos on an object basis, providing detailed information of your business performance and ensuring safety of your critical assets or area.

Que Detection		People Counting		Object Based Analysis

LPR Detection		Heat Map		Face Recognition

IIoT-I530H

EAI-I130

LEC-2290H

LEC-7242H

• 11th Gen Intel® CoreTM i CPU (Up to i7-1185GRE)
• Pre-installed 1x M.2 B+M Key Hailo-8™ AI Accelerator
• 2x DDR4 2133/2400 SO-DIMM, Max. 64GB

• NVIDIA® Jetson Xavier NX/Jetson Nano
• AI Performance Up To 21 TOPS
• 384-core NVIDIA Volta GPU With 48 Tensor Cores

• Intel® Core i7-8700
• Falcon-H8 AI Accelerator Card With 6x Hailo-8™ AI Processors
• 2x DDR4 2133/2400 SO-DIMM, Max. 32GB

• Intel® Apollo Lake CPU
• 2x GbE RJ45, 1x RS232/422/485 COM Port
• 2x USB 3.0, 1x Display Port, 1x HDMI