Tuesday, June 20, 2023 3:02:25 AM
Lake Elsinore, CA – June 19, 2023 – IGEN Networks Corporation (OTC: IGEN), a leading innovator of asset management and supply-chain solutions with its exclusive technology partner Prolog, announces the development of the industry’s first Artificial Intelligence (AI) based commercial fleet solutions. IGEN and Prolog (Companies) have chosen four categories of software algorithms, the manufacture and development of low-cost AI video cameras, and finally the financing of these initiatives through the recently announced reverse-split of IGEN issued and outstanding shares.
The four categories of patent-protected software algorithms will include sensor data analysis, route optimization, predictive maintenance, and driver behavior analysis:
Sensor data analysis will correlate readings from all sensors resident in a commercial vehicle including fuel usage, emissions, locations, and vehicle health to determine patterns, anomalies, and to provide valuable real-time decision-making tools – for example is the vehicle (tires, engine, fuel usage) prepared to complete a long-haul destination under predictable weather conditions.
Route enhancement and optimization algorithms will determine safest, quickest, and most cost-effective delivery routes with real-time adjustments based on traffic conditions, weather, and load-restrictions.
Predictive Maintenance algorithms will analyze and correlate vehicle codes for possible cause-effect scenarios, such as alerting to “yet-to-fail” components that potentially could impact critical vehicle operation and driver safety.
Driver behavior data algorithms will correlate real-time face analysis with historical driver performance based on the same route, time, and weather conditions – potentially to activate real-time risk mitigation, such as blocking the accelerator or re-routing to rest areas.
In addition to the development of AI software algorithms, the Companies will develop and manufacture low-cost AI video cameras and devices that will be integrated with proprietary firmware designed to support any AI commercial fleet service providers. The specialized AI video hardware will be manufactured in Mexico and marketed throughout North America distribution channels independent of any wireless carrier or commercial fleet service provider.
Neil G. Chan, CEO of IGEN stated, “Developing AI capabilities into our software platforms is an integral part of our patent portfolio and we will be the first to deploy these capabilities in the commercial fleet industry. The recent announcement for the 10:1 reverse-split of our issued and outstanding shares will be an important part of our ability to execute and claim industry leadership. The re-structuring of debt and capital will enable us to re-finance in a meaningful way on a non-dilutive basis.”
Juan Ignacio Avila, CEO of Prolog/CTO of IGEN stated, “As pioneers in developing supply-chain solutions, we have the distinct first-mover advantage in taking the industry to the next stage of development. We have collected millions of data points over the last 20 years that makes us uniquely qualified to evolve AI capabilities and decision -making tools for a more productive and safer environment within the commercial fleet industry.”
Recent IGEN News
- Form 8-K - Current report • Edgar (US Regulatory) • 05/08/2024 05:30:35 PM
- IGEN Achieves Milestones and provides updates on Key Initiatives • InvestorsHub NewsWire • 02/05/2024 11:00:00 AM
- Form 10-Q - Quarterly report [Sections 13 or 15(d)] • Edgar (US Regulatory) • 11/20/2023 09:07:43 PM
- Form DEF 14C - Other definitive information statements • Edgar (US Regulatory) • 10/11/2023 07:38:20 PM
- Form 8-K - Current report • Edgar (US Regulatory) • 09/05/2023 10:00:59 AM
- Form 10-Q - Quarterly report [Sections 13 or 15(d)] • Edgar (US Regulatory) • 08/22/2023 05:26:50 PM
- Form 8-K - Current report • Edgar (US Regulatory) • 07/17/2023 04:48:47 PM
- IGEN and Prolog announce Industry's First AI Program for the Next Generation of Commercial Fleet Solutions • InvestorsHub NewsWire • 06/20/2023 11:19:57 AM
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