GRP-160-1IN , RoHS-Compliant Commencing With 9/24/2010 Production
Note: all colors and put-ups
This document certifies that the Alpha part number cited above is manufactured in accordance with Directive 2011/65/EU of the European
Parliament, better known as the RoHS Directive (commonly known as RoHS 2), with regards to restrictions of the use of certain hazardous
substances used in the manufacture of electrical and electronic equipment. This certification extends to amending Directive 2015/863/EU which
expanded the list of restricted substances to 10 items (commonly known as RoHS 3) The reader is referred to these Directives for the specific
definitions and extents of the Directives. No Exemptions are required for RoHS Compliance on this item. Additionally, Alpha certifies that the listed
part number is in compliance with China RoHS “Marking for Control of Pollution by Electronic Information Products” standard SJ/T 11364-2014.
Substance
Lead
Mercury
Cadmium
Hexavalent Chromium
Polybrominated Biphenyls (PBB)
Polybrominated Diphenyl Ethers (PBDE) ,
Including Deca-BDE
Bis(2-ethylhexyl) phthalate (DEHP)
Butyl benzyl phthalate (BBP)
Dibutyl phthalate (DBP)
Diisobutyl phthalate (DIBP)
0.1% by weight (1000 ppm)
0.1% by weight (1000 ppm)
0.1% by weight (1000 ppm)
0.1% by weight (1000 ppm)
0.1% by weight (1000 ppm)
Maximum Control Value
0.1% by weight (1000 ppm)
0.1% by weight (1000 ppm)
0.01% by weight (100 ppm)
0.1% by weight (1000 ppm )
0.1% by weight (1000 ppm)
The information provided in this document and disclosure is correct to the best of Alpha Wire's knowledge, information and belief at the date of its
release. The information provided is designed only as a general guide for the safe handling, storage, and any other operation of the product itself or
the one that it will become part of. The intent of this document is not to be considered a warranty or quality specification. Regulatory information is
for guidance purposes only. Product users are responsible for determining the applicability of legislation and regulations based on their individual
据外媒报道，萨里大学（University of Surrey）的研究人员开发出一种无需依赖GPS即可在人口密集的城市地区精确定位设备位置的人工智能系统。该系统可将定位误差从734米缩小到22米以内，这对于自动驾驶汽车和救援车辆等技术的发展意义重大。 图片来源： 萨里大学 在发表于《IEEE Robotics and Automation Letters》的论文中，研究人员介绍了PEn...[详细]
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