NEW

EDGE AI
Sensing Kit

Need real-time image analysis, object detection, and event recognition on device reducing bandwidth costs and delivering onsite responsiveness, eliminating reliance on constant server interactions? Easy to acquire, easy to setup, let the Edge AI Sensing Kit be your gateway to uncovering the unlimited potential to enhance your ecosystem.

In Partnership With
$285.00

Features and Benefits

Energy-Efficient Operation

Energy-Efficient Operation

High performance with low power consumption.

Real-Time Decision-Making

Real-Time Decision-Making

Quickly evaluating situations on device.

Versatile Industrial Uses

Versatile Industrial Uses

Compact footprint, ideal for diverse use cases.

Watch Edge AI in Action
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Watch Edge AI in Action

Introducing the Edge AI Sensing Kit

Use Cases and Industries

Medical Medical

Patient Fall Detection

  • Scenario: The system continuously monitors patients in hospital rooms or assisted living facilities for sudden changes in posture or movement indicative of falls.
  • Value: Instant alerts to nursing staff can reduce response times, improve patient safety, and potentially prevent further injury.
Patient Fall Detection
Industrial Industrial

Worker Safety & PPECompliance

  • Scenario: The platform monitors factory floors or construction sites to ensure employees wear required personal protective equipment (hard hats, vests, goggles) and follow safety protocols.
  • Value: Decreases accident rates, improves compliance, and reduces liability for industrial operators.
Worker Safety & PPECompliance
Manufacturing Manufacturing

Defect Detection on Assembly Lines

  • Scenario: Real-time inspection of products for cosmetic or structural flaws as they progress through production lines. If a defect is detected, the system can remove or flag the item.
  • Value: Increases product quality and consistency, reducing waste and rework costs.
Defect Detection on Assembly Lines
Security Security

Suspicious Behavior Analysis

  • Scenario: Advanced models detect loitering or unusual activity patterns in public or private spaces, triggering alerts or recordings for further investigation.
  • Value: Improves situational awareness, helping security teams prevent incidents before they escalate.
Suspicious Behavior Analysis
Transportation Transportation

Real-Time Traffic Flow Monitoring

  • Scenario: Cameras with AI detect vehicle congestion, accidents, or unusual driving behaviors, relaying this information to traffic management systems.
  • Value: Allows for dynamic traffic light control, incident alerts, and overall improvement of traffic flow efficiency, including pre-emptive traffic light control adjustments to elevate rush hour congestion.
Real-Time Traffic Flow Monitoring

Innovation Begins with E2IP

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Technical Specifications

Front
Back
Front
Compute Module
Camera Module
Camera Module
  • The SONY IMX335-LQN is a diagonal 6.52 mm (Type 1/2.8) CMOS active pixel type solid-state image sensor with a square pixel array and 5.14 M effective pixels. This chip operates with analog 2.9 V, digital 1.2 V, and interface 1.8 V triple power supply, and has low power consumption. High sensitivity, low dark current and no smear are achieved through the adoption of R, G and B primary color mosaic filters. This chip features an electronic shutter with variable charge-integration time.
  • M12 mount with default lens
Compute Module
  • STM32N657: STM32N6 contains a Neural-Art Accelerator™, an ST-developed Neural Processing Unit. IP and peripheral include a MIPI CSI camera, a machine-vision image signal processor (ISP), an H.264 video encoder, and a Gigabit Ethernet controller with Time-Sensitive Networking (TSN) endpoint support.
  • 64MB of external NOR Flash
  • 32MB of external SDRAM
  • Onboard sensors
IO Module
  • USB-C connector
  • Expansion header — Designed to be used with a wide array of sensors.
  • Murata WIFI - The Type 2GF is a small and high performance module based on Infineon CYW43022 combo chipset which supports Wi-Fi®802.11a/b/g/n/ac + Bluetooth®5.4 BR/EDR/LE up to 78Mbps PHY data rate on Wi-fi®and 3Mbps PHY data rate on Bluetooth®. 2Mbps LE PHY is also supported. The WLAN section supports SDIO v2.0 SDR25 interface and the Bluetooth®section supports high-speed 4-wire UART interface and PCM for audio data.
What’s in the Box
  • Camera Module
  • Compute Module
  • IO Module
  • NOT INCLUDED: Power adapter and connectivity cables (sold separately)
Getting Started
  • Software Ecosystem Tools: STM32Cube.AI
  • Documentation for setup and integration: here
Camera Module
  • The SONY IMX335-LQN is a diagonal 6.52 mm (Type 1/2.8) CMOS active pixel type solid-state image sensor with a square pixel array and 5.14 M effective pixels. This chip operates with analog 2.9 V, digital 1.2 V, and interface 1.8 V triple power supply, and has low power consumption. High sensitivity, low dark current and no smear are achieved through the adoption of R, G and B primary color mosaic filters. This chip features an electronic shutter with variable charge-integration time.
  • M12 mount with default lens
Compute Module
  • STM32N657: STM32N6 contains a Neural-Art Accelerator™, an ST-developed Neural Processing Unit. IP and peripheral include a MIPI CSI camera, a machine-vision image signal processor (ISP), an H.264 video encoder, and a Gigabit Ethernet controller with Time-Sensitive Networking (TSN) endpoint support.
  • 64MB of external NOR Flash
  • 32MB of external SDRAM
  • Onboard sensors
IO Module
  • USB-C connector
  • Expansion header — Designed to be used with a wide array of sensors.
  • Murata WIFI - The Type 2GF is a small and high performance module based on Infineon CYW43022 combo chipset which supports Wi-Fi®802.11a/b/g/n/ac + Bluetooth®5.4 BR/EDR/LE up to 78Mbps PHY data rate on Wi-fi®and 3Mbps PHY data rate on Bluetooth®. 2Mbps LE PHY is also supported. The WLAN section supports SDIO v2.0 SDR25 interface and the Bluetooth®section supports high-speed 4-wire UART interface and PCM for audio data.
What’s in the Box
  • Camera Module
  • Compute Module
  • IO Module
  • NOT INCLUDED: Power adapter and connectivity cables (sold separately)
Getting Started
  • Software Ecosystem Tools: STM32Cube.AI
  • Documentation for setup and integration: here
Download Datasheet