hakaru.ai
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About
hakaru.ai is an AI-driven meter reading and inspection service designed to digitize the traditionally manual process of recording analog and digital meter values. By utilizing a smartphone application, users can capture images of various meters, which the AI then analyzes to extract numerical data. This data is automatically synced to a centralized web-based ledger, eliminating the need for handwritten notes and manual data entry into Excel spreadsheets. This streamlined approach helps organizations reduce human error, prevent data falsification, and significantly speed up routine inspections across large facilities. The tool utilizes a proprietary deep learning-based image recognition engine, trained on over 200,000 meter datasets, to identify values from round analog dials, square digital displays, rotary counters, and even specialized equipment like U-tube manometers. To ensure accuracy and speed during a walkthrough, users attach a generated QR code near each meter. When the operator scans the QR code and takes a photo, the AI immediately interprets the needle position or digital digits. The system is designed to be robust, functioning even when meters are viewed from slight angles or are partially obscured by reflections and surface dirt, provided a human eye could still read them. The service is primarily aimed at industries heavily reliant on frequent equipment checks, such as building maintenance, manufacturing plants, and infrastructure management firms. It serves as a vital bridge for Digital Transformation (DX), allowing companies to modernize their workflows without the massive capital expenditure required to replace thousands of existing gauges with smart meters. Large-scale operations can further benefit from the platform's API integration capabilities, which allow captured data to be fed directly into existing ERP systems, building management software, or custom maintenance databases. What distinguishes hakaru.ai from other industrial IoT solutions is its mobile-first accessibility and ease of deployment. It requires zero initial equipment investment beyond the smartphones already carried by staff and can be implemented without shutting down factory lines or facilities. With a reported accuracy rate of approximately 98% in real-world scenarios, it provides the reliability needed for professional compliance. Furthermore, the ability to store the actual photo alongside the data point provides an indisputable audit trail that traditional manual logs simply cannot offer.
Pros & Cons
Eliminates the need for expensive smart meter replacement investments.
Achieves approximately 98% reading accuracy comparable to human vision.
Reduces inspection and data entry time by up to 45% in industrial settings.
Provides an audit trail by saving the original photo alongside every data point.
Works with legacy hardware including analog gauges and U-tube manometers.
Requires physical QR codes to be attached to every meter for identification.
Reading accuracy may be hindered by extreme dirt or heavy glare on meter faces.
The free trial period is limited to a maximum of one month.
Does not support continuous video monitoring as it relies on manual snapshots.
Use Cases
Factory maintenance staff can reduce equipment check times by 45% by replacing manual clipboards with smartphone AI captures.
Building managers can prevent tenant billing disputes by using AI to verify utility meter readings with time-stamped photo evidence.
Facility engineers can monitor older infrastructure remotely via the web ledger without upgrading existing analog gauges to IoT sensors.
Quality control teams can automate data logging for pressure gauges, ensuring an accurate digital audit trail for compliance.
Property managers can minimize human transcription errors by replacing manual Excel data entry with automated AI recognition results.
Platform
Task
Features
• ai-powered image recognition
• offline inspection mode
• api for 3rd-party integration
• support for analog and digital meters
• csv and zip data export
• web-based management ledger
• real-time threshold alerts
• qr code meter identification
FAQs
What types of meters can the AI recognize?
The AI supports a wide variety of meters including round analog dials, square digital displays (7-segment), rotary counters for water/electricity, and U-tube manometers. It is even capable of reading older legacy meters without requiring them to be replaced.
Does the app work in areas without a network connection?
Yes, the smartphone app supports offline shooting in locations like basements or remote facilities where signals are unavailable. Data is stored locally and synchronized to the web ledger once a connection is re-established.
How does the system identify which meter is being photographed?
Users must print and attach a unique QR code next to each meter. Scanning this code before taking the photo ensures the AI correctly assigns the reading to the specific asset in the management database.
What happens if a reading falls outside the normal range?
Users can set specific threshold values for each meter. If the AI detects an abnormal value, the system triggers an immediate alert that is visible both on the smartphone app for the operator and on the web ledger for administrators.
Can I integrate the data into my existing management software?
Yes, hakaru.ai offers API integration that allows users to export data to third-party systems. This is commonly used to sync inspection results directly into internal maintenance databases or ERP software.
Pricing Plans
Paid Plans
Unknown Price• Initial cost 0 yen
• Up to 24 readings per day
• Unlimited meter registration
• CSV and ZIP data downloads
• Threshold alert system
• API integration support
• Reseller program access
Free Trial
Free Plan• 1-month trial period
• AI meter recognition access
• Smartphone app usage
• Web management ledger
• QR code generation
• Basic data history
Job Opportunities
There are currently no job postings for this AI tool.
Ratings & Reviews
No ratings available yet. Be the first to rate this tool!
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