Eugene, Ore. – April 4, 2018 – In collaboration with subsidiary National Recovery Technologies (NRT), Bulk Handlings Systems (BHS) has announced the launch of new technology that will provide Material Recovery Facility (MRF) operators unprecedented levels of information about their business. The Max-AI Visual Identification System (VIS) is powered by Max-AI® technology and provides real time material identification in recycling plants. The Total Intelligence Platform provides operators and other stakeholders powerful MRF and business intelligence.
Moncks Corner, S.C. – January 30, 2018 – South Carolina-based RePower South (RPS) has begun construction of the Berkeley County Recycling and Recovery Facility, which will be the most advanced Mixed Waste Processing facility on the East Coast. The turnkey recovery system will be provided by Bulk Handling Systems (BHS) under an engineering procurement and construction (EPC) agreement with Barnhill Contracting Company.
Essex, UK – December 12, 2017 – Leading UK industrial & commercial waste specialist, Green Recycling, has announced the purchase of a Max-AI™ AQC (Autonomous Quality Control) to increase recovery of recyclables without adding additional manual labour at the company’s commercial and commingled dry recyclables MRF in Maldon, Essex. Green Recycling is the first company in the UK to invest in this new technology, which has already been successfully installed in three US MRFs.
York, PA – November 1, 2017 – – Penn Waste is all systems go after adding new optical sorting and artificial intelligence (AI) technologies to the company’s state-of-the-art Single Stream Materials Recovery Facility (MRF) in York, Pennsylvania. Provided by Bulk Handling Systems (BHS), the upgrade boosts the facility’s capacity by almost 30% from 35 to 45 tons per hour (tph), while at the same time increasing recovery, improving product quality, and reducing labor costs.
LOS ANGELES – September 21, 2017 – – The Sanitation Districts of Los Angeles County (Districts) have selected Bulk Handling Systems (BHS) to design, manufacture and install a new materials recovery system at the Districts’ Puente Hills Materials Recovery Facility (PHMRF). The system will process both commercial and residential stre ams – including dry commercial waste, commercial Municipal Solid Waste (MSW)
Bulk Handling Systems (BHS) has named Steve Almond to the position of Sales Consultant for the United Kingdom (UK) and Ireland. Almond has more than 25 years of sales management experience in the solid waste and recycling industry, including more than a decade of specialization in optical sensor technology.
Eugene, Ore. – July 5, 2017 – – Bulk Handling Systems (BHS) has named Rich Reardon Managing Director of Max-AI™. During Reardon’s decade long career with BHS he has served as BHS’ Director of Sales and Marketing and most recently as Southwest Regional Sales Manager and Plastics Market Specialist. In his new role, Reardon will lead the company’s Max-AI-related business development and Max autonomous system integration.
San Jose, California – June 21, 2017 – – GreenWaste Recovery commissioned a 40-tph Mixed Waste Material Recovery Facility (MRF) in May 2007. That system was awarded SWANA’s 2008 Gold Award for Recycling Excellence. More than 10 years later, GreenWaste is ready to expand. As they did in 2007, GreenWaste once again selected Bulk Handling Systems (BHS) to provide a state-of-the-art mixed waste processing system.
York, PA – June 07, 2017 – – Penn Waste has announced plans to add technology and capacity to the company’s 35-ton-per-hour (tph) Single Stream recycling system housed in the company’s 96,000-square-foot Manchester, PA Materials Recovery Facility (MRF). Eugene, Oregon-based Bulk Handling Systems (BHS) designed, engineered, manufactured and installed the advanced processing line in 2015, and will provide the $3.5 million retrofit.
Eugene, Ore. and Nashville, Tenn. – April 18, 2017 – – Bulk Handling Systems (BHS) has announced the arrival of Max-AI™ technology, an artificial intelligence that identifies recyclables and other items for recovery. Through deep learning technology, Max-AI employs both multi-layered neural networks and a vision system to see and identify objects similar to the way a person does. The technology will drive improvements in Material Recovery Facility (MRF)
Thanks to software updates and an intelligent neural network that adapts to ongoing changes in the variables it sees, Max delivers a long-term, “future-proof” solution to quality control and manual tasks.
Through reliable, cutting-edge technology, Max improves MRF productivity, reduces overhead and produces higher profits.
The ability to integrate Max throughout your waste processing system opens the potential to create an overarching brain capable of expanding labor-free automation and optimization.