CSI Product Sheet - Gen I.pdf

Confidential - SafetySpect, Inc Page 1 of 3

Product Name: CSI Contamination, Sanitization Inspection system

Model: SS-CSI-01 Manufacturer: SafetySpect, Inc Origin: Invented, Developed, and Assembled in the USA, Patent Pending [1]

EPA Registration Number 85548-ND-001

EPA Establishment Number 98766-CA-1

FEATURES AND SPECIFICATIONS:

1. CSI: detection achieved through UVA (365nm) and violet (405nm) wavelengths.

2. Produces no ozone or other secondary contaminants.

3. High-quality LED illumination design for a long lifespan and no mercury.

4. Portable, versatile, and easy.

5. Use on products and equipment where chemicals and liquids can’t be used.

6. Dimensions: 11.4” x 8.2” x 7.9” (290cm x 209cm x 201cm)

7. Wireless Communication: Wi-Fi 801.11ac

Maximum Video Resolution Top Camera 1280 x 960 Maximum Frame Rate Top Camera 44 fps

Maximum Video Resolution Center Camera 2592 x 1944 Maximum Frame Rate Center Camera 68 fps Illumination at 365 nm 25 LEDs at 2.5W = 62.5W with a 30° lens Illumination at 405 nm 20 LEDs at 4W = 80W with a 30° lens Product Family CSI

Device Supported Computer Host Interface USB 3 Mounting Type Tripod Mount Product Model Gen I Touch Screen LCD 5.8 inches diagonal

Touch Screen LCD Resolution 2340 x 1080

Weight 6 lb Size 12 x 5 x 7.5 inches

Confidential - SafetySpect, Inc Page 2 of 3

How the technology works:

The CSI Imaging Device allows cleaning auditors to quickly, safely, and easily visualize and document potentially harmful contamination residue presence af ter cleaning on high-touch and high-risk surfaces in real-time. The f luorescence imaging scanner is non-contact, and no f luorescent dyes or reagents are required for operation.

Examples of invisible organic residues include leafy vegetable residue [2], fecal matter contamination [3], fats and oils, and animal protein residue. The CSI scanner is an EPA-registered device comprised of a high-resolution color LCD display and touch-sensitive screen with integrated optical and microelectronic components. The handheld scanner is battery-operated and rechargeable and incorporates illumination, imaging, battery power, display, and processing units in a single system.

The CSI scanner uses its patented technology to enable real-time standard light and f luorescence imaging of residue on contaminated surfaces under normal indoor ambient light conditions. The CSI technology captures real-time images (JPEG) and videos (MP4) in both standard imaging and f luorescence imaging.

Manufacturing Readiness Level The CSI is currently at MRL 7: Capability to produce systems, subsystems, or components in a production-representative environment. Our manufacturing partner is ComDel Innovation, located in Wahpeton, ND. ComDel Innovation meets medical, aviation, and military standards for manufacturing quality systems.

Power

• Battery- 3.7 V, 5.0 Ah Li-Ion Rechargeable via a docking station.

• Removable, of f -the-shelf , Milwaukee Tool model 50-11-1850 M18™ 5.0Ah Battery.

Optical System

Camera Lens Filter

RGB Camera (Top) Alvium 1500 C-120 Allied Vision lens s-4.1-

F3-5MP-T1-2.5

Omega Dual bandpass f ilter 535-

700DBEM/14MM

Camera (Central) Allied Vision 1800 U-240c Alvium USB camera

UV Lens 9mm F/2.8 EO Techspec Fluorescence Filter 464/542/639/nm

Ingress / Water protection.

There is no IP rating for the system

Confidential - SafetySpect, Inc Page 3 of 3

References:

1. Vasef i, Fartash; Barton, Kenneth Edward; MacKinnon, Nicholas Bennett; Carroll, David; Marinkovich, Sava; Inspection and sanitation device and method 2021, US Patent App. 17/161,567

2. Sueker, Mitchell; Stromsodt, Kristen; Gorji, Hamed Taheri; Vasef i, Fartash; Khan, Nadeem; Schmit, Taylor; Varma, Rangati; Mackinnon, Nicholas; Sokolov, Stanislav; Akhbardeh, Alireza; Handheld multispectral f luorescence imaging system to detect and disinfect surface contamination, Sensors, 21 21

7222, 2021, MDPI

3. Gorji, Hamed Taheri; Shahabi, Seyed Mojtaba; Sharma, Akshay; Tande, Lucas Q; Husarik, Kaylee; Qin, Jianwei; Chan, Diane E; Baek, Insuck; Kim, Moon S; MacKinnon, Nicholas; Combining deep learning and f luorescence imaging to automatically identify fecal contamination on meat carcasses , Scientif ic Reports, 12 1, 11-Jan 2022, Nature Publishing Group