Enhancing CCTV Security with Large Language Models and Computer Vision

Describe what you see in the camera image.

This appears to be a still image from a security camera overlooking a street scene at night. The timestamp in the top left corner indicates that the image was captured on March 3rd, 2021, at 18:40:57. The camera view is labeled “Street View” in the bottom right corner.
In the image, we see a well-lit urban street with a sidewalk in the foreground. There are several people visible: one person is standing near the corner of the street, another is walking along the sidewalk, and two others are crossing the street in the distance. There is a parked bicycle with a green basket attached to the front, and another bicycle locked to a metal fence next to a trash bin. The street itself has a few cars, with one car visible in motion and the brake lights of another indicating it might be slowing down or stopped.
The lighting suggests it’s evening or night, and the businesses in the background have their lights on. The quality of the image is relatively clear, allowing for details like these to be discerned.

As a CCTV Operator specializing in security oversight, your task is to analyze images from a CCTV camera with a sharp focus on detecting potential security breaches or dangers. Your report should be succinct, omitting normal, non-suspicious activities to concentrate exclusively on notable concerns. In your analysis, please include:
Unusual Activities: Briefly describe actions or behaviors that deviate from the expected norm and might indicate a security concern.
Suspicious Objects: Mention any objects that are out of place or could pose a risk, excluding everyday items that do not raise suspicion.
Potential Threats: Identify any immediate threats to safety, such as unauthorized entry attempts or clear signs of conflict.
Your description should be concise and factual, aimed at providing essential information for quick decision-making by security personnel.

In the provided image, there are no immediately apparent unusual activities, suspicious objects, or potential threats to safety. The scene depicts a typical street view with pedestrians walking and vehicles on the road. There is a bicycle parked on the sidewalk, but it does not seem out of place or suspicious. All individuals in the image appear to be engaged in normal activities, such as walking or waiting to cross the street. There are no clear signs of unauthorized entry attempts or conflict. The image does not require further action based on the visible content.

Analyze the CCTV image for security concerns. Directly report any observed unusual activities, suspicious objects, or potential threats. If no irregularities are found, simply state that everything is okay. Focus on:
Unusual Activities: Only mention if actions or behaviors suggest security concerns.
Suspicious Objects: Highlight objects that could pose a risk, if any.
Potential Threats: Report immediate safety threats, if visible.
Avoid introductory phrases. Be brief and to the point.

No unusual activities, suspicious objects, or potential threats are visible in the image. Everything appears to be okay.

Analyze the CCTV image for security concerns. Directly report any observed unusual activities, suspicious objects, or potential threats. If no irregularities are found, simply state that everything is okay. Focus on:
– Pay attention to whether any bicycles have been left behind, and if so, count them.
Avoid introductory phrases. Be brief and to the point.

Two bicycles are present; one is secured to a bike rack and the other has a green basket attached. No unusual activities, suspicious objects, or potential threats are observed. Everything appears to be okay.

You are analyzing an image from a CCTV camera, and your task is to check which cars are parked in a private parking lot. Determine the number of cars parked in the lot, and if possible, identify the types of vehicles (e.g., SUV, van, sedan, etc.) that are parked.  

In the image provided, I can see two vehicles parked in the lot:

1. On the left side of the image, there is a white van. It appears to be a light commercial vehicle, commonly used for deliveries or trades.
2. In the center, parked against the brick wall, there is a dark-colored car that looks like a hatchback or a small sedan.

These are the only two vehicles visible in the parking lot from this angle.

In the image, there are six vehicles parked in the private parking lot. Here is a description of the types of vehicles I can identify:

1. On the far left, there is a white van.
2. Next to the van, there is a dark-colored hatchback.
3. The third vehicle from the left is a light-colored hatchback.
4. In the center, there is a red hatchback.
5. To the right of the red car, there is a black sedan parked perpendicular to the other vehicles.
6. On the far right, partially obscured by the staircase, there is a dark-colored sedan.

Please note that the specific makes and models of the vehicles cannot be determined with certainty from this image.

Your task is to analyze images from a single CCTV camera, and generate a response in JSON format.
In your analysis, pay special attention to objectives listed below:
– custom scenario 1: Pay attention to whether red hatchback is parked.
Your description must be concise, focusing solely on the details relevant to the objectives.
JSON Format Example###:
{{
“number_of_cars”:2,
“is_space_available”: true/false,
“custom_scenario_1_condition_met”: true/false,
}}
Ensure accuracy and attention to detail in your analysis.

{
"number_of_cars": 2,
"is_space_available": true,
"custom_scenario_1_condition_met": false
}

{
"number_of_cars": 6,
"is_space_available": false,
"custom_scenario_1_condition_met": true
}

Your task is to analyze images from a single CCTV camera, and generate a response in JSON format.
In your analysis, pay special attention to objectives listed below:
– custom scenario 1: Pay attention to whether the doors are open.

JSON Format Example###:
    {{
      "people_present": true/false,
      "custom_scenario_1_condition_met": true/false,
    }}
Ensure accuracy and attention to detail in your analysis. 

{
"people_present": false,
"custom_scenario_1_condition_met": false
}

{
"people_present": false,
"custom_scenario_1_condition_met": true
}

Your task is to analyze the image from a CCTV camera monitoring a warehouse loading bay entrance, and generate a response in JSON format. In your analysis, focus only on the area marked by the RED rectangle.
Pay special attention to the following safety objectives:
– Check if the loading bay entrance is clear and safe for vehicles to enter. Look for any obstructions or hazards on the ground that could impede safe vehicle access.

Provide your response in JSON format only, without any additional text.
JSON Format Example###:
     {
        "entrance_clear": true/false,
        "hazards_identified": ["list any hazards or obstructions if present, otherwise leave empty"]
        }
Ensure accuracy and attention to detail in your safety analysis of the marked loading bay entrance area.

{
"entrance_clear": true,
"hazards_identified": []
}

{
"entrance_clear": false,
"hazards_identified": ["Pallet with materials on the ground"]
}

Your task is to analyze images from a single CCTV camera, which might consist of either a single image or a sequence of images, and generate a response in JSON format. This analysis should provide a focused overview of the captured scene, highlighting key aspects relevant to security and safety without making assumptions about the personal characteristics of individuals observed. In your analysis, pay special attention to the objectives listed below:
– Identify the presence of people in the area.
– Assess any environmental hazards present (e.g., fire, flooding).
The JSON response should encapsulate your analysis, whether it is based on a single image or multiple images, with a structure that allows for informed security-related decisions, such as whether to activate alarms. Your description must be concise, focusing solely on the details relevant to the objectives. If no significant events or concerns are observed, simply state that “everything appears normal.”
JSON Format Example###:
{{
“time_of_day”: “morning/afternoon/evening/night/unknown”,
“people_present”: true/false,
“vehicles_present”: true/false,
“environmental_hazards”: true/false,
“gate_open”: true/false,
“door_open”: true/false,
“short_description”: “A brief description of the scene, focusing on the presence of key elements. If no significant changes or incidents, state ‘everything appears normal’. Avoid introductory phrases. Be brief and to the point.”
}}

Ensure accuracy and attention to detail in your analysis, focusing on activities and objects present. Avoid overemphasizing the absence of events or elements unless it’s directly relevant to the security assessment. The goal is to provide a precise and useful security overview without unnecessary speculation about the individuals involved.

{
"time_of_day": "night",
"people_present": false,
"vehicles_present": true,
"environmental_hazards": false,
"gate_open": false,
"door_open": false,
"short_description": "The area is clear of people. One vehicle is parked inside. No environmental hazards or open gates/doors are visible. Everything appears normal."
}

{
"time_of_day": "night",
"people_present": false,
"vehicles_present": true,
"environmental_hazards": false,
"gate_open": false,
"door_open": false,
"short_description": "The area is illuminated and shows one vehicle parked. No people are visible, and there are no immediate environmental hazards. The gate is closed. Everything appears normal."
}

{
"time_of_day": "night",
"people_present": false,
"vehicles_present": true,
"environmental_hazards": false,
"gate_open": false,
"door_open": false,
"short_description": "The area is clear of people. Several vehicles are parked. No environmental hazards or open gates/doors are visible. Everything appears normal."
}

{
"time_of_day": "night",
"people_present": false,
"vehicles_present": false,
"environmental_hazards": false,
"gate_open": false,
"door_open": false,
"short_description": "everything appears normal"
}