Fictron Industrial Supplies Sdn Bhd
No. 7 & 7A,
Jalan Tiara, Tiara Square,
Taman Perindustrian Sime UEP,
47600 Subang Jaya,
Selangor, Malaysia.
No. 7 & 7A,
Jalan Tiara, Tiara Square,
Taman Perindustrian Sime UEP,
47600 Subang Jaya,
Selangor, Malaysia.
+603-8023 9829
+603-8023 7089
Fictron Industrial
Automation Pte Ltd
140 Paya Lebar Road, #03-01,
AZ @ Paya Lebar 409015,
Singapore.
+65 31388976
sg.sales@fictron.com
Automation Pte Ltd
140 Paya Lebar Road, #03-01,
AZ @ Paya Lebar 409015,
Singapore.
+65 31388976
sg.sales@fictron.com
AMP Robotics & Ryohshin work on New Industrial Automation for Construction and Demolition Recycling
13 Mar 2019
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AMP Robotics Corp. ('AMP'), a master in artificial intelligence ('AI') and robotics for the recycling industry, and Ryohshin Co. Ltd. ('Ryohshin'), a leader in waste control technology in Japan, today introduced a partnership to make and sell AI-driven industrial robotics for material recovery in the Japanese Construction and Demolition ('C&D') market. The companies also announced the industrial launch of a detailed solution of high-performance C&D robotic systems now presented in Japan.
Ryohshin and AMP co-developed a groundbreaking robotic system using the AMP Neuron™ AI platform to guide high-performance robots that spot, arrange, pick and plan C&D debris for recycling. The two C&D robotic systems are called ‘AI-Benkei' and ‘AI-Musashi'.
AI-Benkei is the heavy-duty workhorse operating a single-robot cell to handle heavy trash up to 40 kg, running up to a phenomenal 25 metric tons per hour. AI-Musashi is the high-speed racehorse using a tandem-robot cell that swiftly picks smaller objects at an unprecedented speed of 160 pieces of material per minute, processing up to 10 metric tons per hour. The two methods combine payload and speed to form a complete solution that can operate 24/7 and process a vast array of material including metal, wood, electronics, concrete and much more.
AMP Neuron is the 'eyes' and 'brain' of the robotic setup achieving real-time pattern recognition to determine target materials. It continually learns by processing vast numbers of data converted from millions of images captured via its vision system. AMP Neuron realizes different colors, textures, shapes and patterns to identify material characteristics. AMP Neuron collects all data in a material stream, providing transparency about its material composition, as well as analysis of operational efficiency. Customers use this data to supervise and measure performance, while attaining vital insights to make key business decisions.
This article is originally posted on Tronserve.com
Ryohshin and AMP co-developed a groundbreaking robotic system using the AMP Neuron™ AI platform to guide high-performance robots that spot, arrange, pick and plan C&D debris for recycling. The two C&D robotic systems are called ‘AI-Benkei' and ‘AI-Musashi'.
AI-Benkei is the heavy-duty workhorse operating a single-robot cell to handle heavy trash up to 40 kg, running up to a phenomenal 25 metric tons per hour. AI-Musashi is the high-speed racehorse using a tandem-robot cell that swiftly picks smaller objects at an unprecedented speed of 160 pieces of material per minute, processing up to 10 metric tons per hour. The two methods combine payload and speed to form a complete solution that can operate 24/7 and process a vast array of material including metal, wood, electronics, concrete and much more.
AMP Neuron is the 'eyes' and 'brain' of the robotic setup achieving real-time pattern recognition to determine target materials. It continually learns by processing vast numbers of data converted from millions of images captured via its vision system. AMP Neuron realizes different colors, textures, shapes and patterns to identify material characteristics. AMP Neuron collects all data in a material stream, providing transparency about its material composition, as well as analysis of operational efficiency. Customers use this data to supervise and measure performance, while attaining vital insights to make key business decisions.
This article is originally posted on Tronserve.com