$AITX's Subsidiary Robotic Assistance Launches Significant Upgrade to Analytics Software Suite
https://www.globenewswire.com/news-release/20...Suite.html
Detroit, Michigan, April 13, 2022 (GLOBE NEWSWIRE) -- Artificial Intelligence Technology Solutions, Inc., (OTCPK:AITX), today announced that its wholly owned subsidiary Robotic Assistance Devices, Inc. (RAD) is deploying its ‘version 6’ of its detection analytics software suite.
“Our significant investments in top-notch artificial intelligence and machine learning software developers are paying off,” said Steve Reinharz, CEO of AITX. “I’m thrilled that with the release of our v6 analytics package where our detection analytics are significantly faster and more accurate. This allows better performance and most importantly, better use of our clients’ limited human security resources.”
The company noted that ‘version 6’ of its analytics package specifically for human detection, vehicle detection, license plate recognition, and new cloud-based, non-biased ‘Human Attribute Detection’ is compatible with all existing RAD devices. The company also stated that its devices do not engage in any form of ‘crowd-scanning’ where specific people can be identified using facial recognition. ‘Human Attribute Detection’ (‘HAD’) allows clients to tag various humans based on clothing and luggage. HAD is useful, as an example, for RAD devices to avoid creating alerts when uniformed personnel are patrolling in concert with RAD devices, or for uniformed delivery people to be granted easier access to a controlled area.
“The successes of our analytics team are matched with the success of our AI-driven navigation autonomy team,” Reinharz continued. “ROAMEO’s critical functions of long-range navigation, obstacle avoidance, human detection and interaction is remarkable, and the roadmap is even more impressive.”
The company seeks to continue to build analytics and navigation autonomy technology as it works to create devices that continually get more interactive. “With guard forces under tremendous pressure to staff, with no real human solution in sight, it’s imperative we continue to drive towards machines that feature the ability to have satisfying human interaction,” said Mark Folmer, President of RAD.
In a single frame, individually for each class, RAD was able to increase its precision from 30% (truck), 63% (person) and 75% (car) to ~92%. In less than 1 second of video RAD’s ability to accurate classify target objects on a typical RAD deployment is up to 99.999%
The company expects to file several utility patents for specifically unique and useful features this fiscal year. “As much as I am generally not a fan of patents, I believe that we have developed several unique items that will be clearly defensible as time goes on, and that’s worth locking in the value for AITX,” Reinharz concluded.
https://www.globenewswire.com/news-release/20...Suite.html
Detroit, Michigan, April 13, 2022 (GLOBE NEWSWIRE) -- Artificial Intelligence Technology Solutions, Inc., (OTCPK:AITX), today announced that its wholly owned subsidiary Robotic Assistance Devices, Inc. (RAD) is deploying its ‘version 6’ of its detection analytics software suite.
“Our significant investments in top-notch artificial intelligence and machine learning software developers are paying off,” said Steve Reinharz, CEO of AITX. “I’m thrilled that with the release of our v6 analytics package where our detection analytics are significantly faster and more accurate. This allows better performance and most importantly, better use of our clients’ limited human security resources.”
The company noted that ‘version 6’ of its analytics package specifically for human detection, vehicle detection, license plate recognition, and new cloud-based, non-biased ‘Human Attribute Detection’ is compatible with all existing RAD devices. The company also stated that its devices do not engage in any form of ‘crowd-scanning’ where specific people can be identified using facial recognition. ‘Human Attribute Detection’ (‘HAD’) allows clients to tag various humans based on clothing and luggage. HAD is useful, as an example, for RAD devices to avoid creating alerts when uniformed personnel are patrolling in concert with RAD devices, or for uniformed delivery people to be granted easier access to a controlled area.
“The successes of our analytics team are matched with the success of our AI-driven navigation autonomy team,” Reinharz continued. “ROAMEO’s critical functions of long-range navigation, obstacle avoidance, human detection and interaction is remarkable, and the roadmap is even more impressive.”
The company seeks to continue to build analytics and navigation autonomy technology as it works to create devices that continually get more interactive. “With guard forces under tremendous pressure to staff, with no real human solution in sight, it’s imperative we continue to drive towards machines that feature the ability to have satisfying human interaction,” said Mark Folmer, President of RAD.
In a single frame, individually for each class, RAD was able to increase its precision from 30% (truck), 63% (person) and 75% (car) to ~92%. In less than 1 second of video RAD’s ability to accurate classify target objects on a typical RAD deployment is up to 99.999%
The company expects to file several utility patents for specifically unique and useful features this fiscal year. “As much as I am generally not a fan of patents, I believe that we have developed several unique items that will be clearly defensible as time goes on, and that’s worth locking in the value for AITX,” Reinharz concluded.
