Digital
temperature sensor for healthcare devices & wearables requiring high
accuracy
The AS6221
is a highly accurate digital temperature sensor with an accuracy of 0.09°C,
which is ideal for healthcare applications, wearables and devices requiring
high performance thermal information.
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)
The AS6221 is a complete digital sensor
system, requires no calibration or linearization. It provides measurement
outputs via a standard I²C interface. The sensor supports eight I²C addresses,
avoiding bus conflicts in multi-sensor use cases.
The ultra-small size of the sensor (WLCSP
1.5 x 1.0 mm) enables accurate body/skin temperature measurements in health and
lifestyle monitoring products. In addition to the high accuracy and the small
form factor, the AS6221 offers very low power consumption, for example
measuring with 4 samples/s, the current consumption is only 6 μA.
KEY
FEATURES
• High
temperature accuracy of ±0.09°C (20°C to 42°C) – complying with EN 12470-3 for medical thermometers
• Small
form factor WLCSP package
– total size 1.5 × 1.0mm
• Ultra-low-power
consumption: 6µA @ 4 samples/sec (typical), 0.1 μA @ standby (typical)
• No
calibration or linearization required
• Full-digital
system with up to 8 I²C addresses
• Programmable
alert output pin - no need to constantly poll the sensor
OUTSTANDING BENEFITS
![](data:image/png;base64,R0lGODlh1wCxAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAAAADKALAAhwAAAAAAAAAAMwAAZgAAmQAAzAAA/wAzAAAzMwAzZgAzmQAzzAAz/wBmAABmMwBmZgBmmQBmzABm/wCZAACZMwCZZgCZmQCZzACZ/wDMAADMMwDMZgDMmQDMzADM/wD/AAD/MwD/ZgD/mQD/zAD//zMAADMAMzMAZjMAmTMAzDMA/zMzADMzMzMzZjMzmTMzzDMz/zNmADNmMzNmZjNmmTNmzDNm/zOZADOZMzOZZjOZmTOZzDOZ/zPMADPMMzPMZjPMmTPMzDPM/zP/ADP/MzP/ZjP/mTP/zDP//2YAAGYAM2YAZmYAmWYAzGYA/2YzAGYzM2YzZmYzmWYzzGYz/2ZmAGZmM2ZmZmZmmWZmzGZm/2aZAGaZM2aZZmaZmWaZzGaZ/2bMAGbMM2bMZmbMmWbMzGbM/2b/AGb/M2b/Zmb/mWb/zGb//5kAAJkAM5kAZpkAmZkAzJkA/5kzAJkzM5kzZpkzmZkzzJkz/5lmAJlmM5lmZplmmZlmzJlm/5mZAJmZM5mZZpmZmZmZzJmZ/5nMAJnMM5nMZpnMmZnMzJnM/5n/AJn/M5n/Zpn/mZn/zJn//8wAAMwAM8wAZswAmcwAzMwA/8wzAMwzM8wzZswzmcwzzMwz/8xmAMxmM8xmZsxmmcxmzMxm/8yZAMyZM8yZZsyZmcyZzMyZ/8zMAMzMM8zMZszMmczMzMzM/8z/AMz/M8z/Zsz/mcz/zMz///8AAP8AM/8AZv8Amf8AzP8A//8zAP8zM/8zZv8zmf8zzP8z//9mAP9mM/9mZv9mmf9mzP9m//+ZAP+ZM/+ZZv+Zmf+ZzP+Z///MAP/MM//MZv/Mmf/MzP/M////AP//M///Zv//mf//zP///wECAwECAwECAwECAwECAwECAwECAwECAwECAwECAwECAwECAwECAwECAwECAwECAwECAwECAwECAwECAwECAwECAwECAwECAwECAwECAwECAwECAwECAwECAwECAwECAwECAwECAwECAwECAwECAwECAwECAwj/AAEIHEiwoMGDCBMqXMgQ4ZcvAB5KnEgRYsOLGDNq3Mixo8ePA3eYEUnSzJeRKEuqTAlGJMiXMGPKnHlxx0OTZnJWFGhT4EOeD8FIxAnGpMUdNJMqXcpUIMqTKp0i1ThSakqcU5tq3cpV4dAvQstYTApRKFijY7uqXSvzakm2AFZmhUu3rtebPyNyNMRIIF+/fTXaLJrXruG6SOUuDCOQEWMAjhs/jiwmMuTJjxMmdnu481axOCGmPciotOnTqFOr5nu6oVAzYMx6nk2Tc0LHuMMwqqy79+7cuHkDF64740rayD8GHTm6MeDnAP5GDyy9OvXr0DXibZ68u8K3Zkhj/5ZM/nJ5y+jHm/d41bv7g6HBkFZNv779+yBPgn3PP2rB4ADqJtyAAf4mYIEE6lYITP7xR9t2BlkHnYTTTYhdhRhS+NJX3DkIl20EpXeeeiKuV+KJmcVEkoeHvVbYQPfFKOOMgc0EIYsfvjXQgb7xOBxwPvpGXIFC4raUjjhyZZN+IVroZIYXUihdaU8a0pRRSXKF0n8kdjnilyZ6aaJWW2a5lH5CwUjjmqZBVmN3LppJE5IAJGjgnXbaaWZKcsb01UCsQVnldX1Jh1BPER31E6KIrsVknyCVCaOYKJaHUFUlQYXVppoCUJWWdEKKEZohsknfXfqFVpFZX8X3YlOPiv+KEZ1F9nhnrZYZ9BSIGLnFZ1Ohynroq1JGGeVBO8SGZVwg9fRaTo0qBVaHwhIkKZiVrmetSJ2GlxSmW3pbW7DVJrqfmqZSWRCH1Crl4qt+mlSuri4NlCeCuBkaUns5/jrnp/MmKu+gFhb6pk/KtqvkjTaKW+61YWKb4r4rIkfuRxDLGmu6kK2LlndD0RRUuRUDgOvJuQ7Ea3f8wpSxnMsW+yRBHOIYq8vwJolktiVu+7J7Lb8EsJwSoUvjunj1SSpM+ins3a/4+sgbvQ7LefFGJSdZGJUyT3ewRGlqfNZcHSWtM8CUqufzvNwO7VHW/BVtdIwe3yzsREzn/HS9kA3/GWTKcf2s0BWCEC5IK4cLQtvVswr+IFRqEoy03YNfcQUrrWCj+ebYFC6Q5YbJ3azeFlfN88Se8n1RIFcEIgjnnLfSOuGzs05X25GqDvLAbs6IdNgMWS685YIUjzgrxQ9/xR7Csz78Hl1Nmzd/kkZ9Z0GOD7SHFZYHwv3sV1ixffjhM18486yzXrj6s3sObPYMwW/X1pJbOdBNZBukvPDf7++//8zbn/OWBzoAXEEm0sud0273qdM5xyr5GwgLAMA9FhDPcMhDniD2ULjCkU98rQNh+mpHwvXRroMHBID7OiK/hcBtNsDrHd3ux7uCkM9wrcgh7HaouRwiLoD/C+L//1gHxBSmUDtV28jIklM9lB2IIOQKX/GwkTkeUvGKVsyh8MYnvu8NkIi0M1/7xsg+9fVKdxtpYfRi1TV9eQpe3DucFTXowRMaj4cdRJwgAlFEISqvj5YD5OeOqCvSNeQLYikd3xyoMr5dwYJWkOMOk/fISkKykt+T5OaqeEUt8u+D3SPgCEdJQlI6DwDboxfG0Bi6rcloXWmCwic5ybnCydKP/AuEFTdZx0DkcI8DxKUwhegFQzJEdJ2pmPWmBkUz6MCSlbwCD2VnQQvK8pKy5N41LbdLxGlzirHDRgC9B0orfLF56Oze98YXwvB5YQaf44jb5kcsYz3QXFi45Q1fh/9H8lnQcv3rH/GyyLrv0RJ2PkxoK0yxx2E6VHmyFIgVjkk5uqBNYvT6wjar+UhNxk6P3KvgPg93UM0Vr4KCYEU3d9nDzglinSBk5w2voE99XvKmlvzcBA+VRLiYzWv2+RwUivmF4YXUn4Qr6UcVytJWsO6fSqWiHl3nOpJm8aEPPepRq2mFnUYkhogZGpDwdAiOioQG0OSoWo2Xuaiy1KXVBCdCnRoItUKTnzuUXQerikJyWpN82UyrYO1q1xl4gQadoR+GuMYFLhwVCyMJX1UtxwIrHJWylm3eHou3R7fKLppR9aYfZfnWburRcvoM6Ccpi9QKdvWRXe0qCyY4Wwb/TuVEXDhEbrlgyS/YBKptdepLB0tcq3KyeHE1xVWhKdLmehShUm3rLpGL1I0Sl7DXzakBtYJM1IjBEI0Nr2PDh4WHYKGSr9PjZ7Vazvb+03is9WUWPShQ5Rk0i6wApOt0OE2jCq+yzb1ubGdbWQIb+MC1VUr1eANe3QZit4YQKQ0iywKSoha+2cUudq/A39ixlqPbvKbrpstcwYaWsB7UcIZhW00oVHO2smWBi2HMNN4ZwhDfDS8gxMtby81AIhz2ZHrl6ME6wlakrEUyJkf6y8zOtH9Q4B7mpklf/wk0qoW7LEkTNzvXvvjLMY4xgseMYIEEQJ58062ad7vmuj7S/wsiwYIeK5y5xP1Smr9EnF9XrGIQE1eXVqRugHHK4UDTtJJ7aAUrkNc5H36YzywesJhXQOAAVJoFlD6zdn5ihS7w+NPj5Z4XhPLf1lExpXlEnKlPTcVolviogd1qe7UcWoD6MY4kPuovt3zn1xaYyy+dMZmHTewAaJoqO7jCCsLXYC7seM267e1voXnCpMpuxA31IZ07p8E+Q7rC6UWoILwd11pbktd5RpxdrbBrlx7uprMVdpgNTOnZWvreXh3VSQgMameL96jmdTWhDy1kT5pi13W2rz8z+88l47R/bC1cw1XL2kTPl7VBNh7y7sxVC245cejGMGWJfWBjmxxrJv+ZgaVjwAWWy6DljX1wtC04g5FggdyVvKVTuUlFj7u0FdcgaSsajvOiX3fEhubo6zjbaE/adekW9mGi9fhzvUr8kQQuAYEzzQJ8K3E/s+33vyFJVFuzl72X5F6dFSr0X3aOcFKtI4BZfOhBt3bWxIvGcrP58XS/1NezDfmWWeC6pLI144kTs4FNzniUIyUAVmC55GE+eUof4Ao6MANaja70z1aYsnL05eGSio3CG4/L73005zsq3diNG7R51uDb1+3odkvcxa/NuDSZ/tLZ1hvTXe/6CrxunJ9o/eVWCG/yG7t8Az+EBga2e5IFzvDMxrF4rLsz8ezcajnKzu7gd/j/TNsOW+IhPOJYf3HfIw5jAyNevdQkM+NNTmlkhwcKkG/s5FmefJZnegYiMVsHEHyrR26c5XNUp2o+lDyqRnTfxmecBXRBJjun9XpQp1ITGD5P93PYYG30dmn4FoL5dhEDwwIvJ3ZcIAME9mNf0AIkN1t4F2Cy5mVSFIEKqG6F5kF3VmUFJn4ihV0/yGERx2tVF3G/NGZBtl8UqG7yN3/zxxH1EgCUN4UsVwVccG9w9gX2xgIIwAIDuIVfCIMFSFwApW1yJDynNoGjl2IPqGF8FXS1p0Xthjwdx3qyc3BLOG7tV2nDJ3z3Zmxd93UWYYI8tnzhpYKzlXnQ94LDJnB3//dwR+ZqA3VHHfR2athkkWg4WTZo1fdlwsOA8Hd66SdbGedL8Jd+JeeETphgZ+QtB8AFVsh/MPdyMWAFAsACAuBbXmBpW9iLBOiFl0ZgbZhd5sRh1laGdTZlH4ZuHTiMHCU8DciGz5iG7vZ2vAh8WyiC2qhEJXiCYoeILJAsi8iI5CiMgQWJ6OhrF9RVQ3Za0NRW6qNuklaHPVhgA0aOcNdBQWdhw6aK/nhsGNES4kKFVGgFvFgGO4AF+OaLXViOCOaMxHh6rwduFthD/6RBmDWGhPVaUJc5xxh9iweIAdCHAVAC90aSWDMWleVY3zhbLXASM+CQMnlgsaVkc3dTDP+3cPQYSWlIZD7pSbQzisJIYPO2hwUGg5a1hkw4ZsP3j6qIZgOxAuHlcjDXfzLAizZ3jVoZjL8YhmFoYA1JZhCpYkJ4PJf4OobTdN9Hj9+meHF0YFBAaVynjcEnghwRK4bYbyv4EDE5k35JbK9ldxtJWO3HkYhTgUJGReqDejDICnX1l0zplE65AmnENwQ5eZZlaS0wEirXlQT2lTMJjgYmmkRpghp5XfR1hHDnPKe2dJbjmBMphr4GePS4h394krdZl10nkkokHxL1aXmZgpjGgi4ImcaJj5V1TbT5SC6WfkIJg6ylRckzZB6nakKYYpApmdoJlQPBkrL4nbY4W5z/uZW+eI1hCZoCOGZh+YJe6X6nyZY+J3THmI9TRE2WhGm4V5q2qZsjSZd0eZe8E5yfhojEeZwGCpnzaJRF2Yigp2r8qHtCh53Fpp3buREC2Z37l4IwVwUGKZ470JnXiJ4OSZqz1ZcHRqKmOWaWNoBfSHdqNZs7CWb1SDisEJ/Y9khVNHJHeZS52Z+7iZt+GKRQ+CIs2W+I+JJmYKIHuqQGqnhGKZO0Y0Gt5oEkR6FWimYOo38a+p1cQGC+pZBcSZ6/eJ4EFpbrSXJm+plhuqYDyIsDllbzGGn2+HsUGWSn5ntbB2P+yZ98+p/cOBYoyHwuCRZKyqSGeqiQGaFL2Y9W/2qlI9g4GHqZGlpvush1s5WmMgmOJgqOKDpsYfh7Kxp8bdqnv+iJ+rmjivdfmLagP9qqPmpyQQqrIdiHd0mk/zags3US44iovNqrh9qowAqQGXEt/eedxqqCAQBnu7imDKmmxnmm6RmtvyimWzmqXGetv/h72pqneNqt2OiqdUmSpLqnHxFDgSoDneqr6rquMxmsjdosaLMbhrAFU2kFXNeFYgqtZIaihSqGCNavKSqtlnat41qwe7qQIBlvp+qqImmSrkqSIkmStPoRS/IfVCIGXCAQJsCuHNuxMumu7/oSugM4ABCIJTuw08qV7XmpZVqO+hqWoLqmliqqKTuqYP9YszgrpnMprkB6sKQaE7KRETPQAjFZnB57tOvalCArmXbhFgj5BTQAtVhAtL5IcijKr2PWqSg7gHNJsz77tQYLjCEokhHboxDbs8a2FktiEq+xtkOxtjvwTgCLtL1Kp9m5tExLJnLhK3urEi3Yl2T6rCrKrClLsKF6uGKbuFxnuMCHslvZszwbqz8rrGSxHRVxuZg7ESOxq3TbuYyIt/64FX3Lt6Tbt1CLdQi7ggQGjqg4lCQXhog7qmA7u2F7uGTbow4rq2e7FdPiWxKxJL77EMA7vL9bvML7EImQPJ67vAgGuk/IFKMbvaU7vV+gCK4gVSNnni7rrCl7s48bfF3/67iKy6fee2myK7k926eUSSaZ277u+74icb09JKHM67HOm7bQmxK+5Rb7K702IRf9q78ikQibdJgfhmDpOrijer6028CJe7C5W7YP+4ewAhXGG7wYnCwQgSi9S7zH+8EYTMDRtWs6yrF2K60faKDOyxTTG70hQTEtTLpfEHeHOZ0WVLKLN7jlyaZem7gM7MM9jK3iG77herDryxS9+74U4RO9y8RKnLllwHacRVkF8WX1a5xLqxX+y7cQFC5bPLpfsIAV+KgC4XlXSbNbSMQOvMa1e7sTvJsVzBwg7MHBGx4X/BNyzLZoMsd3vIBTjBBSrIGl6pcn/K1LGqwAQLkz//HFMRwV4DEV4CK9YQxyCmFcnTRnulm+RPzDRMy42ZizRcyfKMldaPHES4y5rAJW9/PEg4A8DeFDWAQ7ynvFTXil70MSAYzLALwiusy/FVO6uTwSCGkGXnAROuRZ7vjJbLzM6ou7FKwVLXHBdOzB0QzCeOy278LH2pwRHZZFflzCvyeiIlrIhSyi9lahotvI6uzI6xzDGBHL3mxnlFS++PbDdLnAQey1kfuqa2TKmWsu/tw0AY0RbrVUejTPy5u36czIfRs40gsfDN1TCdF600TD01lAEoS4zPy1bqzI0iLNIK3NcozB1/wTebEfIz3NxUvQyKxQyYwQqlq1Bqq0Tv+oFu0c0bx80y2sERQtXcEFcoRTyY6mhyLIyXwavhJbkh790QHdvgCNN02txDX0yhWdUJylOAvRdton0+06fwigA10BzLvsy5EcwKkTzKY71g3yzj59yYljzG3dQ5i80X2IAAvUFiqtzRkcFHRc0qJhEX6919vcES69azwNy4EmceMcmYz3knftMjit05sRQTwh2S+BOB5B0fGMnXvapgdgaQgg0Ugc1U6NuaVM2k5tGN1sWiTcus1rbCyotpJdug492zjdGZ20UvKMQqgrypvJSqMt2MKd1yOdxBCRx+wy3CE91XABdKVl1VM8con8mWe2LGoR2Qzt0LWdOra9MnD/MQjYcA0rlWdrSMVVjAARMU/si9qYay5ObC6q7MRR3Uph/FZW7Y6EZC3nwha97LdqLcCRbBVnzTefQtb+zcUWRRKK4FkWfVqaod7cZRZ5rdwfDN8q49doUcoTrtI+NTYWoVTBBd3fYUxL0d3+SzG1jd203RWTLdFt/dMOzlOUzbuswt6nfNImvSpgY+OPrRyp4jSF/dZewdw2reIN/csNjT1Gnr+KcSQQzuIhTeGCHReigyXMkRApHeXAS+KCSBRBeyRcfiVG7ivcnRU5PeZJ/jZd3DYzPi6i3c88fuOAneMUgRY1TtoOMed/Ld8nQRil3M9vHtb9DeAHXujazd0D/97IaI3W6r3kbKFGwKLlkl7hS+Kbb3TcFZsXGy7pB1ERGf62R3E7P2UYJk7m/nLmD47dClHgkEwbkE7KcS7n770TicLnTW3pZgI2yYHmnIHk4VHqLmw1r867RrHpel2xlX7hmI4/ky7lYY4cyOTqvP7IAHPmwO7dDvJCjxPrRSM33Y43BmHjuU7ki8Mc/z3o/X3oXry/EE3o7s44TKTt0H7szY7sN6HsZ53ExV3v+IMjeuwh047g2q0pAQ/cpQM5LGLcqI0l3v7t3A7u78EwLHLtLvErwlwvBf/knhE0OFLjxk7Sx41Mn87v9N7jbLEczx7vFE81GH/t7gHvHsLjAv9DLQ3P4+RO6ksjLOdu7r2u8XxS6O/O8/JeF9gOKSQfvFTuNNEs3x+/5SYPvWeR8iyi6ogeP5A85oexKxUfMDRz66Jx8zSTJjaO6x2+x1wv440skDCP6CaOLEpx9WR+9gkxEZvOxBeh6UdfsXnexFReE4rSNIRh0nK/EDctFSQI97eN5Wy+Kb4uyV48+Bdx5+0rL9He6UzC3hTVKj8eGpxPGELx5ZCPbIt+HPDT+KPvFmTfEJOt9qyP5KEvNMae9IG+LHQ/6a+/J1tc2cDNzhF9+2Yi+e0N36PxJ1Gd+r7vIRc/vbq/4iOh9u58/DBT+9b890RB+/xu/NDv77kf4Kl8k+KNnP13c9qevucE8fmmDPbgjyNpreg73+bprzWWK9hZXvLW/f5sQ/HhYv+D7yLiL9WVr/8AAUDgQIIFDR5EmFDhQoY7zDiE+FBiRIoSGV7EmFHjRo4dPX7k+EWkGZFfHo7c8UXgDpAtXb6EGVMmxocCa87EmVPnToIBAQA7)
• Best-in-class
accuracy
• Space
saving with ultra-small integration size
• Superior
power efficiency for better battery endurance
• Easy-to-use
solution for fast go-to-market
• Enables
multi device application development
• Easy
to integrate with serial bus connection
• Alert
functionality for advanced system power reduction
KEY APPLICATIONS