i-PRO AI ON-SITE LEARNING APPLICATION SOFTWARE
TECHNICAL SPECIFICATIONS
DIVISION 28 – ELECTRONIC SAFETY AND SECURITY
28 20 00 ELECTRONIC SURVEILLANCE
28 23 00 VIDEO SURVEILLANCE
28 23 13 VIDEO SURVEILLANCE CONTROL AND MANAGEMENT SYSTEMS

This specification is intended for use by the design/construction professional and any user of i-PRO Security products to assist in developing project specifications for security and video surveillance systems.  

Specifier Notes:  This guide specification incorporates CSI MasterFormatTM 2014 Edition Numbers and Titles.

Notes in Italics, such as this one, are explanatory and intended to guide the design professional/specifier and user in the proper selection and use of materials. This specification should be modified where necessary to accommodate individual project conditions.

PART 1 GENERAL   

1.01	SUMMARY
1.02	WARRANTY

A.	Provide manufacturer's standard warranty. 

PART 2 PRODUCTS

2.1	MANUFACTURERS

A.	i-PRO Co., Ltd

B.	Provide Video Surveillance Products from single source manufacturer 

2.2	i-PRO AI ON-SITE LEARNING APPLICATION SOFTWARE
A.	GENERAL CHARACTERISTICS

1.	The AI On-site Learning application software shall enhance AI analysis by adding up to 5 customized objects to detect simultaneously using on-site camera footage through simple learning process to improve accuracy.

2.	The AI On-site Learning application software shall contribute to reduce missed/false alarm for human, vehicle and bicycle of AI Video Motion Detection by training based on the past footage

3.	The AI On-site Learning application software shall learn an object by 10-200 learning images with the range of minimum and maximum detection sizes(Pixels) of the object 

   2MP camera : minimum 100 x 50 or 50 x 100, maximum (W)960 x (H)540
   5MP camera : minimum 133 x 66 or 66 x 133, maximum (W)1280 x (H)960
   6MP camera : minimum 173 x 87 or 87 x 173, maximum (W)1664 x (H)936
   8MP camera : minimum 200 x 100 or 100 x 200, maximum (W)1920 x (H)1080

4.	The AI On-site Learning application software shall learn an object inside the camera working with configuration tool without both internet connection and GPU on a PC

5.	The configuration tool for AI On-site Learning application shall save learning images manually or automatically and select learning object on the learning image by drawing bounding boxes, and then confirm the learning results on demo or simulation screen

6.	The configuration tool for AI On-site Learning application shall increase the variations in learning images in terms of brightness, invert and color when it is impossible to collect dark or reversed images in the actual environment

7.	The configuration tool for AI On-site Learning application shall support to name the new learned object within 20 characters

8.	The AI On-site Learning application software shall learn an object in the following estimated learning time

     10 images: 5 min
     100 images: 20 min
     200 images: 30 min

B.	SYSTEM REQUIREMENT
1.	Supported network cameras
WV-X25700-V2LN, WV-X25600-V2LN, WV-X25500-V3LN, WV-X25300-V3LN, WV-X22700-V2L, WV-X22600-V2L, WV-X22500-V3L, WV-X22300-V3L, WV-X15700-V2LN, WV-X15700-V2L, WV-X15600-V2LN, WV-X15600-V2L, WV-X15500-V3LN, WV-X15500-V3L, WV-X15300-V3LN, WV-X15300-V3L

C.	PRODUCTS LINE-UP
1.	None