In-Sight-SnAPP

IN-SIGHT SNAPP SPECIFICATIONS
Weight 6.2 mm: 141 g
16 mm: 169 g
Right angle configuration adds 50 g
Power 24 V DC +/- 10% and Power over Ethernet (PoE)
Power Consumption ≤7.5W
Operating Temperature 0–40 °C (32–104 °F)
Storage Temperature -10–60 °C (14–140 °F)
Humidity <95% non-condensing
Environmental IP67
Shock (Shipping and Storage) IEC 60068-2-27: 1000 shocks, semi- sinusoidal, 11 g, 10 ms
ISTA-1A standardized testing – packaged products 150 lb or less
Vibration (Shipping and Storage) IEC 60068-2-6: vibration test in each of the three main axis for 2 hours
@ 10 Gs (10 to 500 Hz at 100m/s2 / 15 mm)
FedEx vibration testing for packaged products 150 lbs or less
RS-232 RxD, TxD according to TIA/EIA-232-F
High-Speed Outputs 0, 1, 2, 3 IMAX: 50 mA
VOL: ≤ ± 3 V @ 50 mA
Inputs 0 (Trigger), 1, 2, 3 VIL: ≤ ± 6 V
VIH: ≥ ± 12 V
ITYP: 4.2 mA @ 24 V
Ethernet 10/100/1000. Full duplex or half duplex.
Program Storage 20 for each application
Image Sensor 1/2.8-inch CMOS monochrome and color
Image Sensor Properties Pixel size: 2.8 μm (H) x 2.8 μm (V)
Pixels 1440 x 1080 (1.6 MP)
Lens Type Autofocus: 6.2 mm, 16 mm (high speed liquid lens)

Array of FOV diagrams for In-Sight SnAPP

Category:

Description

Sensors, reimagined

The In-Sight SnAPP vision sensor brings the power of machine vision to everyone. With guided setup and pre-trained AI, In-Sight SnAPP allows manufacturers to quickly and easily automate inspections, no experience needed. Leveraging innovative vision technologies, these user-friendly sensors solve a wide range of error-proofing tasks to improve quality control.

  • Flexible functionality – Address a variety of applications across all industries
  • Superior detection capabilities – Achieve higher detection rates with embedded AI and image-based analysis
  • High ease of use – Go from unboxing to automating your line in minutes

Automate activities across your facilities

In-Sight SnAPP Apps address a range of error-proofing tasks, from simple presence/absence detection to multi-point inspections. These sensors perform one job at a time but can solve a variety of different applications. Within the intuitive user interface, you can easily switch between applications to respond to changes on the line or create new jobs to automate more steps in your production process. This keeps your business agile, while reducing costs and eliminating manual errors.

  • Anomaly Detector – Run anomaly detection and find variable defects and features, like stains, scratches, and debris
  • 2-Class Classifier – Perform binary classification and inspections with known or consistent anomalies

Coming soon…

  • Optical character recognition
  • Assembly verification
  • 4-class classification
  • Counting
  • Identification
Vision sensor inspecting EV battery pouches for dents, scratches and tears. Vision sensor performing quality control checks on bottles of lotion

Laser-based sensor projecting laser on parts coming down production line and display panel showing linear inspection results

Go beyond standard detection

Powered by AI and image-based analysis, In-Sight SnAPP vision sensors exceed the capabilities of conventional, laser-based sensors to offer higher accuracy and higher performance for any detection task. In-Sight SnAPP allows you to do more than ever before with a sensor:

  • Identify subtle features and anomalies
  • Handle product variations and quickly respond to changes
  • Run multi-point inspections
  • Locate features and parts in any position on the line

All of this helps you to eliminate false detections, reduce waste, and optimize overall quality and productivity.

Solve problems with ease

In-Sight SnAPP allows anyone to automate quality control tasks. Leveraging pre-trained AI, applications can be built, quickly and easily, with no experience needed.

  • Guided setup – Reduce downtime with fast, intuitive setup
  • Browser-based UI – Plug in and run In-Sight SnAPP from anywhere
  • No code training – Train jobs using a few sample images
  • Simplified deployment – Easily modify applications or build new ones within the UI, no hardware exchange needed
  • Streamlined integration – Replace multiple laser-based sensors with one vision sensor
Laptop screen displaying SnAPP training interface

Set up applications, directly on the factory floor, with VisionView

VisionView is a display panel that allows you to quickly train, update, and monitor jobs on the production line, without the need for a PC. Having this technology on the factory floor improves efficiency, facilitates easy device management, and provides real-time feedback for immediate process improvements.

IS-snapp-VisionView-Web

Additional Features

 

1-click image optimization

Comparison of out of focus and in-focus photos of a printed circuit board

Capture high-resolution images, in a single click, for more accurate inspections.

Web HMI compatibility

Hand pointing at display label showing real-time inspection results for wiring harness

Set up and audit applications – without a PC – using an intuitive display panel that allows you to update and monitor jobs, directly on the factory floor.

Real-time training feedback

Mock inspection results showing  OK/green boxes and NG/red boxes

View results in real-time to verify application performance and identify potential issues early in your production process.

Compact size

Hand holding vision sensor in a straight configuration with lights turned on

Easily add automation anywhere in your line with a small form factor.

Fixturing capabilities

Images showing how fixturing tool works in inspection of wiring harnesses.

Fixture your region of interest to locate parts and features in any position – regardless of how parts come down the line – for consistent detection.

IP67 rated

Factory floor showing metal being cut and sparks flying across the work area

Operate in even the most challenging manufacturing environments with a rugged design.

LED indicator

Zoomed-in photos of vision sensor indicator lights showing both green and red lighting

Get immediate, visual feedback on the performance of your sensor.

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