Anyone look at Patriot One Technologies recently? I see there was an article in 2017.
PatriotOne Deep Neural / Radar Weapon Detection Examined
The bodyscanner/weapons detection sector has seen several new products, some using advanced approaches like metamaterials (Evolv) or terahertz imaging (Digital Barriers), but one company is combining old technology - radar, with a new approach to data processing - deep neural networks, to create a lower-cost weapons detection scanner.
In this report, we examine PatriotOne's CMR1000 scanner, and compare it to similar products from Digital Barriers and Evolv.
PatriotOne ********
*** ******* ** ***** ** *******, ****** and *** ****** ***** / **** public **** **** (***-*:***, ~$** ******* *** ****** *********). ********** was ****** ** **** ** ***** technology **** *** **** ********* ***** a **** ****** ******* **** * commercial ******. ********* ********** ******* ~** people, ****** *** ******* **** **** are *********, ************ ** *****, ** they **** **** ** *&* ***** to * ********** ********.
********* *** ******* ** ***** ***-*******, but ***** ** **** * ******* of ***-******, ******** ***** ********** ********* and ************* ****-** *** *** *******.
CMR1000 ****** ********
**********'* ******* ** **** ********* ***** unit ******* **** * ******* ********* platform **** ******** **** **** *** radar ****. *** ******** ******** ** ******** weapons ****** ***** ** *** ****, based ** *** *** ********* **** in *** ****** ******** ** ******* frequencies. ** ** ******** ** ** concealed ****** ***** ** **** ** less ******* **** ******* ******** ** being ********* ** * ***** ****. The ******* ******* ***** ** ****** at * ******, ****** *** ******* says *** ***** ******* ***** ** 2 ****** ** ****.
* ********* ******** ******* *** **** to ***** *** ****** ********* ********** on *** ********* **** ****, *****, etc., ******* ** ******* ***** ***********.
***** ** ** ******* / ******** of *** ******** ***** / ********* process:
*** ***** *** *********, **** *** reporting/alerting ********, *** ** **** *** profiles **** ** ******** ******* *** be ************* ******* ** *** ********** are ********** ** *** *******, ******* to *** ******** ***** ******** *******.
*** ********* ***** ***** ** ******** of **********'* ****** *** ****** ********:
*** ******* ** ********* ** **** and ********* *** ********** ********* ** fall ****.
Alert ******
*** ****** ***** ** *****, **** one ** ***** ****** ** **************:
- ******* ****** (**** *** **** ***** pattern ** ****** ** ***-****** *******)
- ****** ****** ******** (*** * ****** hit, *** ******* ********** **** * weapon ** ****** *******)
- ******** ****** ******** (****** ** **** confident **** * ****** *** ********)
********** ******** *** ********* ******** ****** as **** ** ** ******** ************:
User *********
****** *** ** **** ** ****** devices ******* ** ******** *********, ** to * *** *********:
*** ******* **** ***** ** ********* with ****** *** ********* *** ***** management ******* ** **** ****** ** those *********.
No ****** ***** / ******* ********
*** ******* ****** ***** ** ******** if ***** ** * ****** ****** its ********* *****, *** **** *** provide *** **** ** * ****** on *** ******/**** ***** *** ****** was ********. ********** ******** **** ** a ******* ******* ** ***** ****** materials, ******* ** ** **** ****** due ** *** **** **** *** CMR1000 ****** *** ** **** ** image ********** ** ******** *********. ** real-world ************, *** **** ** * visual ** *** ****** ******** *** weapon ***** ****** ** * **********, and ********* ***** **** ** ****** a *** ** ******** *** ****** carrying *** ****** ** ***** ** enact * ****** ********.
*****/***********
********* ** **********, *** ****** ** designed ** ******* ******* *****/***********, *** they ** ********* * ** *** "learning ******" ** **** *** **** can ***** * ******** ** *** environment. ***** **** **** **** ***** relatively ****, ** **** ********* *** unit **** ***** ***** ****** ** deployed ** ** **-****** *******.
*******
*** ******* *** ** **** ** ~$10,000, **** * $**/**. ************ *** to **** ******* **** ****** ****** signatures *** ***** ******* *******.
Compared ** ******* ********/*****
*** *******, ** $**,***, ** ************* less ********* **** ******* ********* ***** **** either ******* ******** ** *****. ***** both ** ***** ******** **** ************* features ** ************, ******* ************ ***** likely ** ***** ** *** ******* with ******** ******* *** ***** *** integration, *** ***** ** ******* *******. Additionally, **** ** ***** ******** *** more ******** ** ******/**-****** ***********, ***** the ******* ** ********* ******** *** permanent ****** ************.