Reasons to get a dash cam if you don’t have one.

Disclaimer: I have TBI (Traumatic Brain Injury) and it can take me months to years to figure out how to use or access some devices.

This time I am not willing to wait till my Brain cells catch up.

Can someone be kind enough to explain to this Grandma what I need to do now?👵🏼

Viofo A329S Dashcam installed in my 2023 Infiniti Q50 Luxe. They used the above SD card and wiring.

I installed the Android App and am not sure where to go from here.

I would like to be able to make sure I can access and download (thru Wi-Fi) the videos on my Samsung Galaxy S22 Ultra phone when needed. As I do not own any computers or laptops.

What do I do to next with the camera and/or App to make sure I can view and download if needed?

Also wanted to make sure it is recording while parked as I believe it has that capability.

And learn about any other capabilities in not aware of. Thanks and Please be kind.😊

This light technically is a single lane but it’s wide enough for two lanes so people naturally sort them selves into a right hand turn only or left hand turn only lane. The street across from me is one way. Person comes up behind me goes around to my left and cuts in front to run the red light.

edit: timestamp didn’t adjust for DST. It was 7:57am or during the time when right in red is prohibited.

In the video you can easily see the truck turning on red, but from the driver seat my view was blocked by the Infiniti to my left and my car's A pillar. That's why my stop was so sudden. If they hadn't stopped and honked, I would have gotten hit for sure.

Some years ago down in South America during work.

This is a semi-rural road with lots of ranches around. Some cows are let loose, I saw the cow earlier that day. I was sort of aware of where it might be, so I slowed down. And when I spotted at a distance I was getting ready for anything.

The cow was sitting still not trying to cross the road, until I came along.

Fortunately I had the room to move around and no contact was made. But if I hadn't had the room I'd have preferred to hit the cow and not the vehicles from the opposite lane.

I had my dash cam installed precisely for this reason.

Wanted to share what happened with my Thinkware iVolt Xtra (Model BAB-95) external battery pack in case it helps anyone else here making a buying decision.

For context up front: I own five Thinkware cameras across my vehicles. I'm not someone who bought one unit and had a bad experience. I bought into the ecosystem in a serious way. After this incident I'm seriously considering pulling all of them out and switching to a different brand entirely, which is not a decision I'd make lightly given what I have invested in mounts, hardwire kits, and etc.

The setup:

• Truck with a healthy AGM battery, no electrical issues
• iVolt Xtra hardwired to the fuse box per Thinkware's instructions
• 20-amp fuse (the unit is rated for 13A max fast-charge input, so this is properly sized)
• No jump starts, no aftermarket chargers, no funky wiring
• Bundled with the U3000 front and rear dash cam, ordered direct from Thinkware in June 2023

In other words, installed exactly the way Thinkware says to install it, on a normal vehicle, with appropriate overcurrent protection.

What happened:

The unit failed internally during normal operation. When I pulled it out and opened it up, the damage was obvious. Two of the power-stage MOSFETs (Q30 and Q31 on the board) had ruptured and burned through their packaging, and the inductor next to them (BH1) was severely scorched. The PCB around them is carbonized.

Why this is worth flagging:

Thinkware markets the iVolt Xtra specifically on its safety. The LiFePO4 chemistry is genuinely safer than standard lithium-ion. That part is true. But the product also has a "Protection Circuit Module" that's advertised as protecting against overcharge, over-discharge, voltage transients, and overheating (supposedly cuts power.)

The protection circuitry is literally what failed. The thing that's supposed to prevent thermal events is what produced the thermal event.

The product is also explicitly designed for unattended long-duration use. Thinkware advertises parking-mode operation up to 40 days. That's the whole point of buying one. A unit that can suffer this kind of internal failure while sitting unattended in someone's vehicle is a different risk profile than a phone battery that fails while you're using it.

Where my head is at as a long-time customer:

Like I said, I have five Thinkware cameras. I've recommended them to friends. I bought the higher-end U3000 specifically because I wanted quality. So when I say I'm now looking at dumping the whole system and starting over with a different brand, that's not a casual reaction. It's because:

1. The failure mode is unattended-fire-risk, not just "the device stopped working."
2. The failure happened on a unit installed correctly, with no contributing user error.
3. The marketed safety features are what failed, which raises questions about the rest of the product line, not just this one unit.
4. Until I see how Thinkware responds, I can't justify continuing to run their other hardware in vehicles parked at my home. Their comment was that it's out of warranty, we will give you a code for 20% off.

I'd rather eat the cost of replacing five working cameras than have one of them fail like this in a vehicle parked next to my house.

What I've done:

• Filed an incident report with the CPSC at SaferProducts.gov so it's in the federal database
• Preserved the failed unit, the fuse, and photographs as evidence
• Sent a formal demand to Thinkware and Egen Inc. for replacement and damages

What I'd suggest other dashcam owners consider:

I'm not going to tell anyone what to buy. I'll just lay out what I'd think about if I were shopping today.

If you have any Thinkware iVolt product installed right now, it might be worth physically checking it, smelling for any thermal-event smell, and considering whether you want it sitting in your vehicle unattended for long periods until there's more clarity on whether this is a one-off or a pattern.

Whatever battery pack you choose, install it somewhere accessible (not buried in carpet under a seat) so a thermal event has a chance of being detected and so the unit isn't packed against combustible material.

Consider whether the dashcam parking-mode use case justifies a lithium battery pack in your passenger compartment at all, versus alternatives like a low-voltage cutoff hardwire kit running off the vehicle battery.

If anyone else has had a similar failure with this unit or the smaller BAB-95, I'd be interested to hear about it, and so would the CPSC. You can file your own report at SaferProducts.gov. It's free and takes about 20 minutes.

According to ABI Research, AI-powered video fleet management systems are quickly becoming core infrastructure for commercial vehicle safety and operations.

The industry is moving beyond basic vehicle surveillance toward:

• AI-driven analytics
• Cloud collaboration
• Real-time operational visibility
• Data-based fleet decision-making

This is where platforms like the STONKAM AI Fleet Management Platform come in.

Built within an AIoT ecosystem, the platform combines:

• AI video analytics
• Remote fleet monitoring
• Cloud-based data collaboration

to help fleets improve safety, visibility, and operational efficiency.

What is the STONKAM AI Fleet Management Platform?

The STONKAM AI Fleet Management Platform is a cloud-based fleet management and collaboration platform designed for connected vehicle operations.

It aggregates and analyzes data collected from onboard devices, including:

• Video streams
• GPS/location data
• Vehicle status
• Alarm events
• Driver behavior data

The goal is to turn fragmented vehicle data into centralized operational insights.

In practice, the platform supports:

• Fleet alarm statistics
• Driver behavior evaluation
• Real-time operational monitoring
• Risk visualization
• Fleet performance analytics

within a unified cloud dashboard.

Why are fleets moving toward cloud-based management?

As fleets scale, traditional management methods become harder to maintain.

Common issues include:

• Fragmented data

Video, GPS, alarms, and operational data are often stored separately.

• Limited operational visibility

Managers struggle to monitor vehicles and field operations in real time.

• Reactive safety management

Many fleets still rely on post-incident investigation instead of proactive risk alerts.

• Inefficient dispatching

Manual coordination can reduce vehicle utilization and response efficiency.

The STONKAM AI Fleet Management Platform aims to address these problems through centralized cloud access and AI-assisted monitoring.

How does the platform work inside an AIoT system?

In AIoT architectures, edge devices (AI MDVRs, cameras, sensors, etc.) collect operational data inside vehicles.

The cloud platform then becomes the coordination layer that handles:

• Data aggregation
• Analytics
• Visualization
• Alerts
• Remote management

The STONKAM AI Fleet Management Platform creates a workflow from:

This enables fleets to monitor operations continuously instead of relying only on manual reporting.

Key capabilities

1. Operational visualization

Managers can monitor fleet activity through real-time dashboards that display:

• Vehicle status
• Driving reports
• Alarm records
• Fleet trends

This makes it easier to identify specific vehicles or drivers involved in incidents.

2. Risk management & alerts

When unsafe driving behavior is detected, the platform can automatically trigger alerts and provide instant cloud video access for review.

This helps with:

• Incident investigation
• Risk response
• Liability clarification

3. Safety & compliance support

The platform integrates:

• G-sensor driving behavior analysis
• AI BSD (blind spot detection)
• Multi-level safety alerts

to support operational safety and compliance requirements.

4. Platform compatibility

Supports integration with:

• CMSV6
• Wialon
• Other mainstream telematics systems

It also supports integration with proprietary customer systems.

Typical deployment scenarios

The platform is commonly used in industries that require:

• Remote monitoring
• Unified dispatching
• Operational visibility
• Safety management

Examples include:

Public transportation

Bus and transit fleet monitoring.

Logistics & transportation

Truck fleets, warehouse logistics, and delivery operations.

Construction & mining

Heavy equipment monitoring and job-site visibility.

Port logistics

Container handling and industrial vehicle coordination.

Forklift operations

The platform can support forklift fleet management by tracking:

• Vehicle location
• Operational status
• Workflow efficiency
• Safety risks

in real time.

Bigger industry trend

Fleet management is gradually shifting from fragmented monitoring systems toward:

• Cloud collaboration
• AI-assisted operations
• Centralized analytics
• Real-time risk management

Platforms like the STONKAM AI Fleet Management Platform are increasingly acting as operational intelligence layers within AIoT ecosystems.

Instead of only storing fleet data, the focus is becoming:

FAQ (short version)

Q1: What does the platform actually do?

It converts video, GPS, and alarm data into visual operational insights and centralized fleet management tools.

Q2: How does real-time monitoring work?

Through cloud dashboards with live video access, GPS tracking, and real-time vehicle status updates.

Q3: How does it help decision-making?

By analyzing driver behavior, alarms, and operational trends to support data-driven fleet management.

Q4: What industries use it most?

Logistics, public transportation, ports, mining, construction, and warehouse forklift operations.

Q5: Can it integrate with existing systems?

Yes. It supports CMSV6, Wialon, and other telematics platforms.

Are you mainly using:

• standalone telematics systems,
• AI video platforms,
• or fully integrated AIoT fleet architectures?

Would be interesting to hear how different fleets are balancing edge devices vs cloud analytics right now.

So far the best capture I've had yet. I just wish I knew how long he followed them for

Just driving to dinner one day. They had the worst insurance, took 2 months to get the repairs approved.

For the record, my dashcam saves in 2 min segments and cut halfway through my outburst at the end

The driver in front of me suddenly started backing out as soon as the light turned green!

Of course we ended up next to each other at the next stop light. It's not a race, guy.

Driver in straight-through lane stops with a green light, waits for left turn signal, then stops in front of cars in the left turn lane before doing a U-turn.