Edge AI - Lanner Electronics | Network Appliance | uCPE SD-WAN| MEC Server | Intelligent Edge Appliance

Lanner, in collaboration with Eyemetric, has developed an AI-powered Face Matching Watchlist Appliance designed to enhance security and control access in critical environments. Powered by Lanner’s NVIDIA certified Edge AI platform, this innovative solution enables organizations to manage watchlists of banned individuals and seamlessly integrates with existing security infrastructure. Whether deployed for airport security, border control, law enforcement, or corporate access control, this appliance provides a scalable and reliable system tailored to your specific security requirement.

AI-Powered Face Matching

LEC-2290A Edge AI Appliance

ECA-6040 Edge AI Appliance

• A NVIDIA-Certified System
• Intel® Core™ i7-9700TE Processor
• NVIDIA® L4 GPU Card Support
• 2x DDR4 SO-DIMM, Max. 32GB
• 2x RJ45, 4x PoE, 4x USB, 6x COM, 8x DIO
• 2x SSD Drive up to 1TB

• A NVIDIA-Certified System
• 5th Gen Intel® Xeon Scalable Processors
• 16x DDR5 RDIMM, Max. 1024GB
• 3x NVIDIA® L4 GPU Card Support
• Secure BMC / TPM 2.0

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 Vaidio 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 Vaidio's 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. 

Vaidio AI Vision Platform

Vaidio AI Vision Platform 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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Adapting AI pipelines for edge devices is complex. Initially, it involves customizing models for specific hardware, developing AI pipelines, and optimizing performance within resource constraints. Maintaining these pipelines across diverse edge devices also requires ongoing updates and management efforts to ensure compatibility and performance.

Lanner partners with Network Optix to deliver an end-to-end Edge AI solution development platform, which includes edge AI appliances, model conversion tooling, an AI-pipeline deployment SDK and a cloud based Edge-AI deployment and management platform.

Deploy your AI/ML Pipeline in Minutes

Network Optix AI Manager drastically reduces edge-AI pipeline development time from months to hours. With NX AI Manager, 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 NX AI Manager 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, NX AI Manager 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 fromNX AI Manager for deploying AI models Over-the-Air as soon as models get updated. NX AI Manager 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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Lanner collaborates with Delta Electronics to unveil a next-generation SOP compliance Monitoring solution for smart manufacturing. This joint solution integrates Delta’s AI Video Analytics Solution ACME with Lanner’s high-performance Edge AI platforms to deliver real-time monitoring of manual operations workstations, intelligent error correction, and automated video analytics for Industry 4.0 applications.

Delta ACME: AI Video Analytics for Smart Manufacturing

The Solution integrates action detection & AI video analytics. It overcomes the challenges of human-based operations in process visibility, data traceability, quality stability and high costs of monitoring.

AI Smart Monitoring & Real-Time Correction

Automated Data Collection & Action Recognition

Streamlined Setup Maximizes ROI

• Monitors manual operations to ensure correctness and prevent reliability risks
• Real-time video analytics and error alerts to reduce rework rates and costs
• Supports mobile and fixed workstations for flexible Deployment

• End-to-end AI smart monitoring to efficiently collect working hour and action data while ensuring traceability
• Auto-recognizes action features, which allows searching video by time, actions and certain events without manual review

• Unlock the power of AI with IP cameras — no need of industrial cameras
• One AI edge device can simultaneously analyze multiple camera live streams

EAI-I133

EAI-I730

• NVIDIA® Jetson Orin NX/Nano
• AI Performance Up To 100 TOPS
• Up To 1024-core NVIDIA CUDA GPU With 32 Tensor Cores

• 12th/13th/14th Gen. Intel® Core i9/i7/i5/i3 Processors
• 5600MHz DDR5 SODIMM Up to 96GB, 4x 2.5” Removable HDD/SSD
• 2x 2.5GbE RJ45, 1x RJ45 Console, 1x RJ45 LOM (By SKU)