At PALTEK’s AI EXPO booth, HACARUS presents person tracking running on edge devices

At PALTEK’s AI EXPO Booth, HACARUS Presents Person Tracking Running On Edge Devices

From April 3-5, 2019, HACARUS INC, (Headquarters: Kyoto-shi, Nakagyo-ku, CEO: Kenshin Fujiwara) will be exhibiting its booth during Tokyo Big Sight’s 3rd Artificial Intelligence EXPO and partnering with PALTEK (Headquarters: Yokohama-shi, Kohoku-ku, CEO: Naohide Yabuki, Security Code: 7587) and holding its demo exhibition booth.


From January 2019, Hacarus and PALTEK co-developed and began offering services of HACARUS-X-Edge, an AI solution for FPGA that makes edge learning possible. HACARUS-X-Edge excels in extracting small data through Sparse Modeling technology and putting machine learning to practice use as an AI solution without connecting to a cloud service and operates offline. Implementing edge learning and inferences are both characteristics of HACARUS-X-Edge.


At PALTEK’s AI/Artificial Intelligence EXPO booth, Zynq Inc’s System on Chip (SoC) Zynq UltraScale+™ MPSoC ZCU104 and Congatec Inc’s Box PC (Headquarter: Germany, manufactured in Taiwan’s EFCO Inc.) users of HACARUS-X-Edge will be utilized in ranking during the demo exhibition.



Main Contents of the Exhibition

  • Ranked users of HACARUS-X-Edge
  • Comparison in performance of FPGA and Box PC (ARM-operated Linux)
  • AI solution edge computer terminal learning and inference
  • Other technological explanations


Outline of the Exhibition

Event: AI EXPO Tokyo 2019 (3rd Annual AI and Artificial Intelligence EXPO)

Date: April 3 (Wed) – 5 (Fri), 2019

Place: Tokyo Big Sight Aomi Hall (Closest station in proximity: Rinkai Line Tokyo Teleport Station 2 min walk, Yurikamome Aomi Station)
PALTEK booth is located at 12-50 (Deep Learning Zone)
Sponsored by Reed Exhibitions Japan



Established in 2014 as a healthcare-related AI venture, Hacarus develops its own AI through the application of sparse modeling technology that excels in featuring extraction from small amounts of data to machine learning. To apply sparse modeling methodology to machine learning, large amounts of learning data is vital. Therefore, resulting in an AI’s decision-making processes to become a “black box” making it uninterpretable. As large quantities of computing resources are necessary in the learning phase, Hacarus tries to solve the issues that take place in engaging in deep learning.


Hacarus Corporate Profile


Kikusan Bldg. 3F Room 302
112 Machigashiracho Nakagyo-ku
Kyoto-shi Kyoto 604-8206 Japan

Established: January 2014

Capital: 100 Million Yen

Main Shareholders: Miyako Capital, Innovation Engine, Capital Medica Ventures, Ohara Pharmaceutical, Essential Pharma, Medi Future, PALTEK, Kaga Electronics, Chushin Venture Capital, Senshu Ikeda Capital, Kyogin Lease Capital, management team and private individuals.



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