Do you recall any instances of "checking for the sake of checking" being left unresolved at a work site?

Are your staff walking around the premises every day just to "confirm that there are no problems," such as checking the remaining amount of alcohol disinfectant, verifying warehouse inventory, recording refrigerator temperatures, and checking for unusual noises in equipment? Moreover, 99% of these checks end up being fine.

Routine work that continues simply because "it can't be stopped," even though nothing unusual happens, shares a common structural problem.

• The ambiguity of "Did I already do that?": It relies on memory to remember who checked it and when. Double-checking is ineffective, and omissions and errors can occur.
• The same amount of work is required even on days when there are no problems: 99% of the time, it's just a matter of confirming "no issues," yet people have to go through the process every time.
• Personalization: Relies on the intuition and tacit knowledge of veterans, making handover difficult.
• Reliability of memory: Handwritten or manually entered records carry the risk of transcription errors and omissions.

These problems can be fundamentally solved through automation using IoT sensors. In this article, we will explain the mechanism and benefits of automating routine tasks with IoT sensors, based on three implementation examples that Macnica has actually supported.

Automation using IoT sensors: Eliminating "verification work" in 3 steps

Improving business efficiency with IoT sensors consists of three simple steps.

The key is the shift from "regular patrols" to "responding only when necessary." If there is no abnormality, there is no need for human intervention, and if there is an abnormality, the sensor will immediately notify the user. The anxiety of "Did I already do it?" is eliminated. Below are three examples of implementation.

Case Study 1: Automatically managing inventory and consumable levels using weight sensors

Problem: Daily patrols and checks become a burden on on-site staff.

In many cases, such as restaurants stocking commercial supplies, retail stores managing their shelves, and hospitals providing hygiene products, staff regularly patrol the premises to check whether replenishment is needed.

• Most of the time, even after a round of inspections, the conclusion is "there's still plenty left."
• Inconsistent replenishment timing leads to shortages and excess inventory.
• I spend several hours a day checking multiple locations.

Solution: Use a weight sensor to "notify when weight decreases".

Weight sensors are installed under consumables and inventory to measure weight changes in real time. When the weight falls below a pre-set lower limit, an automatic notification is sent to the employee's smartphone or PC.

We've been receiving a flood of inquiries from unexpected industries.

Macnica 's weight sensor solution receives the most inquiries on MonoCon Web. Initially developed for applications such as server capacity management in restaurants and shelf inventory management in retail stores, we have actually been receiving numerous inquiries from other industries as well.

For example, public facilities need to keep a certain amount of supplies in stock at all times, but often they don't have the manpower to check the inventory on each floor of each facility. By installing weight sensors, it becomes possible to remotely determine "what percentage remains," and replenishment only needs to be done on the floors where it is needed.

Furthermore, the system is increasingly being implemented for inventory management at distribution centers of logistics companies. This includes systems that allow headquarters to monitor the remaining quantities of packaging materials and delivery slips at each distribution center in real time, and automate ordering for each center.

Benefits

Traditional methods	After IoT implementation
We conduct daily rounds of all floors and all shelves at a fixed time.	Only locations where the remaining amount falls below the minimum level will be addressed.
"Is there any left?" I checked visually.	The dashboard displays a list of remaining resources for all locations.
The timing of restocking is determined by the staff's intuition.	Replenish at the optimal timing based on data.
Confirmation records are handwritten notes.	Automatically recorded to the cloud. History can also be traced.

▶Click here for examples of how weight sensors are being used.

This system can be used in a variety of industries, including restaurants, retail stores, and logistics centers. We explain the specific mechanisms and provide examples of configurations.

Macnica has developed a prototype of an "AI smart shelf" that can check inventory and remaining stock using weight sensors. A video demonstrating it is available online, so please take a look.

Automatic inventory and remaining quantity management using weight sensors and IoT [For retail stores and restaurants]

Automatic inventory and remaining quantity management by weightWe made a coaster using this technology! When you're at a drinking party and your beer or drink is running low, it will flash to let you know, so you won't miss the chance to get a refill!

Improve your restaurant experience with refill coasters | Weight sensors can now detect remaining drink levels!

Case Study ②: Continuous monitoring of temperature, humidity, and CO2 using environmental sensors

Challenge: Manual temperature recording tends to become "a task for the sake of recording."

Food processing plants and pharmaceutical warehouses are required to keep regular records of temperature and humidity to comply with HACCP and quality control standards. However, many facilities are experiencing the following problems.

• Manual recording every two hours → interrupts staff work.
• Paper record sheets → Risk of transcription errors, omissions, and later tampering.
• Delays in detecting anomalies → May go unnoticed until the next inspection, leading to quality problems.

Solution: Use environmental sensors for "continuous monitoring + automatic recording + deviation alerts"

Environmental sensors measuring temperature, humidity, and CO2 concentration are installed, and the data is automatically transmitted to the cloud. The moment the values deviate from pre-set standards, an alert is sent to the person in charge. Manual recording is completely unnecessary, as the data is automatically stored in the cloud, and audits can be handled simply by specifying the period and outputting the data from the dashboard.

The following illustration shows an example of an alert notification in a hospital room.

Method of notifying all staff

A method of notifying only smartphones that have received nearby

Macnica 's track record: Analyzing defects in environmental sensor prototypes and achieving mass-production quality.

In one case supported by Macnica, a housing equipment manufacturer was plagued by frequent malfunctions and inaccurate measurements in a prototype environmental sensor developed through joint research with a university. Furthermore, the research lab had been disbanded, leaving the company with no one to consult.

Macnica MonoCon® team then analyzed the remaining development information to identify the problem. They identified the issue, achieved stable measurement accuracy, and provided comprehensive support from establishing a mass production system to maintenance. This case demonstrates how a customer's challenge of "having a prototype but not meeting mass production quality" was solved. Macnica 's unique strength lies in its ability to provide support not only for sensor implementation but also for product commercialization and mass production.

Industries where its use is expanding

Case Study ③: Predictive Maintenance of Equipment Using Vibration and Current Sensors

The problem: "Repairing after it breaks" will halt the production line.

In many factory settings, equipment maintenance is still based on "regular inspections plus reliance on the five senses."

• Checks performed visually, auscultally, and palpably become dependent on individual expertise, leading to a decline in quality when experienced staff retire.
• Abnormalities may be overlooked during regular inspection intervals → Production stoppage due to sudden failures
• "Replace it early just to be safe" → Discarding a part that is still usable (over-preservation)

Solution: Use vibration and current sensors to "notify before it breaks."

By attaching vibration and current sensors to rotating machinery such as motors and pumps, their operating status is constantly monitored. When a deviation from normal values is detected, an alert is issued, allowing for planned maintenance before a failure occurs.

From "periodic inspections" to "condition-based maintenance"

Maintenance method	Overview	assignment
Post-mortem maintenance	Repair after it breaks	Sudden shutdown, significant losses
Time-Based Maintenance (TBM)	Inspect and replace at regular intervals.	Over-maintenance, high costs
Condition-Based Maintenance (CBM)	Sensors constantly monitor the system's condition and respond to any abnormalities.	The introduction of IoT sensors is necessary.

Predictive maintenance using IoT sensors offers a third option: neither "repairing after a failure (corrective maintenance)" nor "replacing at fixed intervals (time-based maintenance)." Because it makes decisions based on the actual condition of the equipment, it can optimize maintenance costs while preventing unexpected shutdowns.

Industries where its use is expanding

industry	Target of surveillance	Main sensors
manufacturing industry	Motors, compressors, pumps	Vibration/current/temperature
Building management	Air conditioning equipment, elevators	Vibration and electric current
Logistics facility	Conveyors, automated warehouses	Vibration and electric current
infrastructure	Bridges, tunnels	Vibration/tilt

motor

Conveyor

A dilapidated bridge

Five Benefits of Introducing IoT Sensors

"What benefits will our company gain from implementing IoT sensors?" To answer this question, we've summarized five key advantages.

Sensor Selection Guide by Application

"Which sensor is right for our company's specific needs?" To answer this question, we've compiled a list of selection points based on application.

As a leading semiconductor technology trading company in Japan, Macnica boasts one of the largest selections of components, and its engineers, who possess a deep understanding of sensor characteristics, select the optimal sensor for your application. We provide support that includes technical assessments, such as "Can this sensor truly meet your requirements?"

Macnica 's support system solves the problem of "We want to introduce sensors, but we don't know what to do next."

Implementing IoT sensors isn't just about buying the sensors and being done with it. It involves designing the communication infrastructure, building a cloud environment to receive data, creating an alerting system, and mass production after operations have stabilized. Macnica receives many inquiries from people who say, "We know what we want to do, but we don't have the means to make it happen."

Macnica 's manufacturing consulting service (MonoCon®) can provide comprehensive support from the idea stage to mass production.

Many IoT solution companies either "sell sensors" or "build systems." Macnica, however, can handle everything from sensor component selection and board design to enclosure, cloud services, and mass production, all through a single point of contact. This eliminates the need to place separate orders with multiple vendors, optimizing the speed and cost of the entire project.

Frequently Asked Questions (FAQ)

Q1. What is the cost of implementing IoT sensors?

A single sensor module costs between a few hundred and a few thousand yen. The cost of the entire system, including communication modules, cloud environment, and application development, varies depending on the scale and specifications. Please tell us about your challenges, and we will provide you with an estimated quote.

Q2. Can it be retrofitted to existing facilities or buildings?

Yes. IoT sensors are small and lightweight, and in most cases can be retrofitted to existing shelves and equipment. Many are wireless communication types that do not require wiring work, so they can be introduced without major construction.

Q3. Is the data security adequate?

We design solutions to meet security requirements, including communication encryption and access control for cloud environments. On-premise (company-hosted server) deployments are also available.

Q4. Can we try it on a small scale first?

Absolutely. Macnica recommends starting with a Proof of Concept (PoC) using one or two locations and a few sensors. This allows you to test it on a small scale, confirm its effectiveness, and then move on to full-scale implementation. We also offer loaner evaluation samples.

Q5. How long does it take to implement the system?

For cases where off-the-shelf components can be used, the process typically takes a few weeks to a month. For cases involving custom development, the estimated timeframe is three to six months. Macnica can handle everything from sensor selection to cloud development, allowing for faster progress than distributing orders across multiple vendors.

Summary: From "human verification" to "sensor-based notification system"

The essence of routine work is "confirming that there are no abnormalities." IoT The sensors automate the verification process itself, creating a system where humans only need to act when an anomaly occurs.

This allows you to free up limited personnel from "checking for the sake of checking" and dedicate them to tasks that they should be focusing on. IoT Improving work efficiency through sensors is essential to solving the current labor shortage. "This job could probably be replaced by sensors." "I'd like to start by discussing whether IoT sensors can be used in my company's operations." Macnica MonoCon® accepts inquiries at that level.

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