CN111294454A - Mobile phone loss detection device and method - Google Patents
Mobile phone loss detection device and method Download PDFInfo
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- CN111294454A CN111294454A CN202010208057.6A CN202010208057A CN111294454A CN 111294454 A CN111294454 A CN 111294454A CN 202010208057 A CN202010208057 A CN 202010208057A CN 111294454 A CN111294454 A CN 111294454A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/24—Arrangements for testing
Abstract
The equipment comprises a detection assembly, a driving assembly and a recovery assembly, wherein the detection assembly comprises a cabin body with an open front surface, a photographing assembly arranged on the cabin body and a rotating table arranged on the bottom surface of the cabin body and used for placing a detection mobile phone, the photographing assembly comprises a first photographing assembly and a second photographing assembly, and the method comprises the steps of photographing, detecting and recovering the loss mobile phone. The mobile phone recovery device has the advantages that the appearance loss detection of the recovered mobile phone is realized, the mobile phone evaluation can be reasonably performed by using the detection information, so that the secondary manual inspection times caused by inaccurate mobile phone evaluation can be greatly reduced, the recovery efficiency of the mobile phone is improved, the intermediate cost of mobile phone recovery is reduced, the mobile phone recovery success rate is improved under the condition of improving the mobile phone recovery experience of a user, and the mobile phone recovery device has ideal market practical value.
Description
Technical Field
The invention belongs to the technical field of electronic products, and particularly relates to equipment and a method for detecting mobile phone loss
Background
Along with the fact that the updating iteration speed of the smart phone is faster and faster, the replacement period of the smart phone is shorter and shorter, and the smart phone is gradually recycled, replaced with old one, and replaced with new one to become the most convenient and cost-effective channel for replacing the smart phone for people, particularly young people pursuing trends. The mobile phone valuation is used as a link of the importance in the whole process of mobile phone recovery, the valuation accuracy directly influences whether the mobile phone recovery is successful, and at present, most mobile phone valuation processes in the market are as follows: firstly, an independent detection app is installed on a mobile phone to be recovered, or a mobile phone WeChat detection applet is started, and then hardware information such as the brand model, the memory, the processor and the like of the mobile phone is read through the app or the WeChat applet installed on the mobile phone to complete mobile phone valuation. Because the mobile phone valuation is inaccurate, manual retesting is needed for secondary valuation, the speed of the recovery process is reduced, and the efficiency is lowered; when the difference between the mobile phone valuation and the manual review valuation is large, the success rate of mobile phone recovery is reduced, and the cost of a mobile phone recovery process is increased.
Disclosure of Invention
The invention aims to provide a method for establishing and detecting internal information of a corresponding connected mobile phone by using the appearance loss image information of the mobile phone to judge the loss degree of the mobile phone, accurately estimate the mobile phone and solve the problem of inaccurate estimation when the mobile phone is recycled，The mobile phone loss detection and recovery equipment has the problems of low recovery flow speed, low efficiency, high cost and the like.
The invention also aims to provide a method for detecting and recycling the mobile phone by using the equipment.
The invention provides a device for detecting and recovering the loss of a mobile phone, which comprises a detection component, a driving component and a recovery component, wherein the detection component comprises a cabin body with an open front surface, a photographing component arranged on the cabin body and a rotating platform arranged on the bottom surface of the cabin body and used for placing the mobile phone to be detected, the photographing component comprises a first photographing component and a second photographing component, the first photographing component comprises a camera which is arranged on the outer surface of an upper cover of the cabin body and vertically photographs with the position where the mobile phone is placed and photographing light sources arranged in the middle areas of two sides outside the cabin body and used for photographing the front image of the mobile phone, the second photographing component comprises a long-focus camera arranged in the lower area of the right side wall of the cabin body, a short-focus camera arranged in the lower area of the left side wall of the cabin body and photographing light sources arranged on the inner surface of the upper cover of, the lower part area of cabin body both sides all is provided with light-passing board and inductor, the light-passing board is made by the inferior gram force board.
The driving assembly comprises a stepping motor arranged at the bottom of the cabin body and used for driving the rotating table to rotate, a rotating shaft arranged at the rear part of the cabin body and driven by the motor, and a tension pulley and a bearing seat which are arranged at two ends of the rotating shaft and used for driving the belts at two sides to move.
Retrieve the subassembly including transversely set up the frame of dialling in cabin body opening department and set up the subassembly that slides on the extension plate of cabin body bottom plate both sides to and set up the wall empty region that the frame removed is conveniently dialled on cabin body both sides light-passing board upper portion, be provided with position sensor respectively at the both ends that one side extension plate is close to the subassembly that slides, cabin body rear side lower part region still is provided with the turnover door, the outer upper portion of turnover door is provided with electro-magnet and sensor, the inside push rod that vertically is provided with of electro-magnet blocks the turnover door.
The sliding assembly comprises a sliding rail and a sliding piece, the bottom end of the sliding piece is fixed on the extension plate, the sliding piece is arranged on the sliding rail, the sliding end of the sliding piece is connected with one end of the lower half of the belt on the tension wheel through a bridging plate, and the two ends of the shifting frame are fixed at the end of the lower half of the belt.
And light barriers are further arranged on the side faces of the photographing light sources in the middle areas of the two sides of the outer surface of the cabin body.
The method for detecting the loss of the mobile phone by using the equipment comprises the following steps: firstly, photographing a mobile phone: collecting an appearance image of the mobile phone, and marking loss information of the mobile phone; and then designing a deep network structure, training a detection model of mobile phone loss, completing mobile phone appearance detection by using the mobile phone loss detection model, and correctly evaluating and recycling the mobile phone according to a detection result.
The method comprises the steps of collecting an appearance image of the mobile phone, wherein the step of shooting the front side and four side surfaces of the mobile phone comprises the steps of firstly horizontally placing the mobile phone on a rotating platform at a place where the mobile phone is placed in the middle, sensing the mobile phone by a sensor arranged at the lower part of a light-transmitting plate, starting shooting light sources outside two sides of a cabin body, starting a camera at the top of the cabin body, vertically shooting a front photo of the mobile phone, storing, after the shooting is finished, closing a front light source and the camera for shooting, starting a side camera and a light source above a shooting cabin, shooting the side surfaces of the mobile phone, carrying out short-focus shooting on a short edge of the mobile phone by using the camera on the left side of the; starting the rotating platform to rotate clockwise by 90 degrees, carrying out long-focus shooting on the long side of the mobile phone to obtain an image of the side face of the long side of the mobile phone, and closing the right camera after shooting is finished; starting the rotating platform to rotate clockwise by 90 degrees, carrying out short-focus shooting on the other short side of the mobile phone to obtain an image of the side face of the other short side of the mobile phone, and closing the left camera after the short-focus shooting is finished; and starting the rotating platform to rotate clockwise by 90 degrees, carrying out long-focus shooting on the other long edge of the mobile phone, acquiring the side image of the other long edge of the mobile phone, and closing the right camera after shooting is finished.
The method comprises the steps of preprocessing an acquired image with clear mobile phone appearance, extracting a mobile phone area in the image, classifying and labeling the acquired mobile phone image by adopting open source software, wherein the labeled image is classified into scratch (scratch), implosion (crack), leakage (leak), membrane (membrane), wire screen (wirescreen), flower screen (bluescreenscreen), bright spot (highlight), bruise (burn), aging (aging) and the like, and establishing an information database.
The Detection step comprises the steps of establishing a deep network based on a DenseNet-201 network structure by using labeled mobile phone appearance image information, training a mobile phone loss Detection model, modifying Pooling (Pooling) operation algorithm, adding a Detection layer for realizing the Detection function of the mobile phone, completing mobile phone appearance Detection by using the mobile phone loss Detection model, and performing loss Detection on the collected mobile phone appearance image by using the trained mobile phone loss Detection model.
And finally, accurately estimating the mobile phone by using the detection result, if the mobile phone is recovered, putting the mobile phone into an equipment opening rotary platform, starting a motor at the back of the cabin by using a position sensor to drive a rotating shaft to rotate and strain a belt to drive a stirring frame to push the mobile phone to move forwards, sensing the electromagnet push rod to ascend by using the sensor when the stirring frame moves into the cabin, opening the turnover door, and pushing the mobile phone pushed by the stirring frame to push the turnover door to drop to a background for recovery.
The invention provides a device and a method for detecting and recovering mobile phone loss, which collect the mobile phone appearance image by building a hardware environment for collecting the mobile phone appearance image, comprising the appearance of a detecting and recovering cabin, the specific installation position of a light source and the selection of a camera, wherein the camera used for collection is a high-standard industrial camera, so as to collect more fine appearance characteristics, collect mobile phone appearance pictures under different loss conditions, classify and label the mobile phone loss information aiming at the collected mobile phone appearance images with different loss characteristics to establish a mobile phone loss information database, and then train the deep network through a designed deep network structure for mobile phone loss detection, and train the deep network by utilizing the constructed mobile phone loss information to obtain a mobile phone loss detection model, and then utilize the trained mobile phone loss detection model to carry out loss detection on the collected mobile phone appearance image, and judging the loss condition of the recovered mobile phone to accurately estimate and recover. The device and the method realize the appearance loss detection of the recovered mobile phone, and the detection information can be used for more reasonably and accurately estimating the loss of the mobile phone, so that the secondary manual inspection times caused by inaccurate estimation of the mobile phone can be greatly reduced, the recovery efficiency of the mobile phone is improved, and the intermediate cost of mobile phone recovery is reduced; meanwhile, the mobile phone recovery success rate is improved under the condition of improving the mobile phone recovery experience of the user.
Drawings
Fig. 1 is a front appearance structure diagram of a device for detecting and recycling loss of a mobile phone according to the present invention.
Fig. 2 is a three-dimensional cross-sectional view of a device for detecting and recovering the loss of a mobile phone according to the present invention.
Fig. 3 is a schematic diagram of a detection flow of the device and method for detecting and recovering the loss of the mobile phone provided by the present invention.
Detailed Description
Referring to fig. 1 to 3, the three figures show the overall structure and flow diagram of the device and method for detecting the loss of the mobile phone according to the present invention. The apparatus comprises: including detection module, drive assembly and recovery subassembly, detection module includes openly for the open cabin body 1 and set up the subassembly of shooing on the cabin body 1 and set up the revolving stage 2 that is used for placing the detection cell-phone on the 1 bottom surface of the cabin body, the subassembly of shooing includes first subassembly of shooing and second subassembly of shooing, first subassembly of shooing is including setting up camera 11 and the regional photographic light source 12 of setting in cabin body outside both sides middle part of placing the position perpendicular shooting of cabin body upper cover surface and cell-phone placement position for shoot the positive image of cell-phone, the second subassembly of shooing is including setting up the long-focus camera and the short-focus camera 14 and the photographic light source 15 of setting at cabin body upper cover internal surface of cabin body left side wall lower part region in cabin body right side wall lower part region, is used for shooing four side images of cell-phone, the lower part region of cabin body both sides all is provided with light, the light-passing board 3 is made of acrylic boards, light emitted by the light source can penetrate through the acrylic boards on the two sides to form brightness similar to natural light, the condition that a shadow cannot appear in a mobile phone placing area when a mobile phone in the cabin body 1 is photographed can be guaranteed, and the sensor 4 senses whether the mobile phone is placed.
The driving assembly comprises a stepping motor 5 arranged at the bottom of the cabin body 1 and used for driving the rotating table 2 to rotate, a rotating shaft 6 arranged at the rear part of the cabin body 1 and driven by the motor, and a tension pulley 8 and a bearing seat 9 which are arranged at two ends of the rotating shaft 6 and drive belts 7 at two sides to move.
Retrieve the subassembly including transversely set up in the 1 opening of the cabin body department stir frame 10 and set up the subassembly that slides on the extension plate of 1 bottom plate both sides in the cabin body to and set up in the 1 both sides light-passing board 3 upper portion of the cabin body and conveniently stir the empty region 17 of wall that the frame removed, be provided with position sensor 13 respectively at the both ends that one side extension plate is close to the subassembly that slides, 1 rear side lower part region in the cabin body still is provided with turnover door 19, the outer upper portion of turnover door 19 is provided with electro-magnet 20 sensor 18, 20 inside vertical push rods 16 that are provided with of electro-magnet 20 blocks turnover door 19, plays the effect of theftproof.
The sliding assembly comprises a sliding rail 111 with the bottom end fixed on the extension plate and a sliding piece 112 arranged on the sliding rail 111, the sliding end of the sliding piece 112 is connected with one end of the lower half of the belt 7 on the tensioning wheel through a bridging plate 18, and two ends of the poking frame 10 are fixed at the end of the lower half of the belt 7.
The light barrier 21 is further arranged on the side face of the photographing light source in the middle areas of the two sides of the outer surface of the cabin body 1, and the light barrier is used for preventing the external light from influencing the photographing effect provided for the camera by the light source.
The method for detecting the loss and recycling of the mobile phone by using the equipment comprises the following steps:
a. photographing the mobile phone: collecting an appearance image of the mobile phone, and marking loss information of the mobile phone;
b. and (3) detection: designing a deep network structure, training a detection model of mobile phone loss, and completing mobile phone appearance detection by using the mobile phone loss detection model.
c. And (3) recovering: and (4) correctly evaluating and recycling the mobile phone according to the detection result.
The method comprises the steps of collecting an appearance image of the mobile phone, wherein the appearance image comprises the steps of shooting the front side and four side faces of the mobile phone, firstly, the mobile phone is placed on a rotating platform at a pick-and-place opening, a sensor arranged at the lower part of a light-transmitting plate senses the mobile phone, a shooting light source outside two sides of a cabin body is started, a camera at the top of the cabin body is started, a front photo of the mobile phone is vertically shot, the front light source and the camera are closed after the shooting is finished, the side camera and a light source above a shooting cabin are started, the camera at the left side of the cabin body is used for carrying out short-focus shooting on the short side face; starting the rotating platform to rotate clockwise by 90 degrees, carrying out long-focus shooting on the long side of the mobile phone to obtain an image of the side face of the long side of the mobile phone, and closing the right camera after shooting is finished; starting the rotating platform to rotate clockwise by 90 degrees, carrying out short-focus shooting on the other short side of the mobile phone to obtain an image of the side face of the other short side of the mobile phone, and closing the left camera after the short-focus shooting is finished; and starting the rotating platform to rotate clockwise by 90 degrees, carrying out long-focus shooting on the other long edge of the mobile phone, acquiring the side image of the other long edge of the mobile phone, and closing the right camera after shooting is finished.
B, preprocessing the image with clear appearance of the mobile phone obtained in the step a, extracting a mobile phone area in the image, classifying and labeling the acquired mobile phone image by adopting open source software, wherein the labeled types are scratch (scratch), implosion (crack), leakage (leak), membrane (membrane), wire screen (wiredsscreen), flower screen (bluesrdsscreen), bright spot (highlight), bruise (burn), aging (aging) and the like, establishing an information database, and the detection step comprises establishing a depth network for the mobile phone appearance image information labeled in the step a, training a mobile phone loss detection model for realizing the detection function of the mobile phone, completing the mobile phone appearance detection by using the mobile phone loss detection model, and performing loss detection on the acquired mobile phone appearance image by using the trained mobile phone loss detection model. The deep network is based on the network structure of the DenseNet-201, modifies the algorithm of Pooling operation, and adds a Detection layer for realizing an object Detection function. The Densenet201_ yolo network structure utilizes the advantages of a Densenet network such as gradient disappearance alleviation, characteristic transmission enhancement, parameter quantity reduction and the like, and improves the accuracy of object identification and detection. The model comprises the layers of Convolition, Pooling, Bottleneck, Transition and protection. First, the Convolution Layer performs a Convolution operation of 7 × 7 on the input 416 × 416 resolution image, and since stride value is 2, filter value is 64, and output vector is 208 × 64. Then, the Pooling Layer performs a maximum Pooling operation of 3x3 on the output vector of the contribution Layer, and outputs vector 104x104x64 because stride value is 2. Then, the Bottleneck and Transition operations are performed a plurality of times on the output vector of the Poolling Layer to output a vector 13x13x 1024. Finally, in the Detection Layer, firstly, carrying out 1x1 convolution operation on the 13x13x1024 vector to output the vector 13x13x70, and then carrying out softmax on the 1x1 convolution output vector to realize the object Detection function.
The Bottleneck Layer is actually a connection Layer of BN- > ReLU- > Conv (1x1) - > BN- > ReLU- > Conv (3x 3). Wherein BN is Batch Normalize and ReLU is Leaky Relu. The layer can achieve the purposes of reducing the number of input feature vectors, reducing the calculated amount and fusing the features of each channel.
The Transition Layer is actually a linker Layer of Conv (1x1) - > MaxPool (2x 2). The dimension of the feature vector can be further reduced through the layer, so that the calculation amount of the model is reduced. In the step, a loss detection model of the appearance of the mobile phone can be trained based on different object detection models such as R-CNN, Fast RCNN, Mask R-CNN, SSD, EfficientDet and the like.
And finally, accurately estimating the mobile phone by using the detection result of the step, if the mobile phone is recovered, putting the mobile phone into an equipment opening port rotating platform, starting a motor at the back of the cabin body by using a position sensor to drive a rotating shaft to rotate and tighten a belt to drive a stirring frame to push the mobile phone to move forwards, sensing the lifting of an electromagnet push rod by using an electromagnet sensor when the mobile phone moves into the cabin body, opening a turnover door, pushing the mobile phone pushed by the stirring frame to push the turnover door to drop into a background recovery cabin, sending an instruction to a driving motor by using a sensor arranged on an extension plate to command the motor to rotate reversely, driving the rotating shaft to rotate reversely to drive a belt pulley to move the stirring frame to reset according to the pushing belt, and carrying out next detection.
Claims (10)
1. A detection and recovery device and method for mobile phone loss are characterized in that: the equipment comprises a detection component, a driving component and a recovery component, wherein the detection component comprises a cabin body which is open in front, a photographing component arranged on the cabin body and a rotating platform arranged on the bottom surface of the cabin body and used for placing and detecting a mobile phone, the photographing component comprises a first photographing component and a second photographing component, the first photographing component comprises a camera which is arranged on the outer surface of the upper cover of the cabin body and vertically photographs with the mobile phone placing position and a photographing light source which is arranged in the middle area of the two sides outside the cabin body and used for photographing a front image of the mobile phone, the second photographing component comprises a long-focus camera which is arranged in the lower area of the right side wall of the cabin body, a short-focus camera which is arranged in the lower area of the left side wall of the cabin body and a photographing light source which is arranged on the inner surface of the upper cover of the cabin body and is used for photographing, the light-transmitting plate is made of an acrylic plate.
2. The device and the method for detecting and recovering the mobile phone loss according to claim 1, wherein: the driving assembly comprises a stepping motor arranged at the bottom of the cabin body and used for driving the rotating table to rotate, a rotating shaft arranged at the rear part of the cabin body and driven by the motor, and a tension pulley and a bearing seat which are arranged at two ends of the rotating shaft and used for driving the belts at two sides to move.
3. The device and the method for detecting and recovering the mobile phone loss according to claim 1, wherein: retrieve the subassembly including transversely set up the frame of dialling in cabin body opening department and set up the subassembly that slides on the extension plate of cabin body bottom plate both sides to and set up the wall empty region that the frame removed is conveniently dialled on cabin body both sides light-passing board upper portion, be provided with position sensor respectively at the both ends that one side extension plate is close to the subassembly that slides, cabin body rear side lower part region still is provided with the turnover door, the outer upper portion of turnover door is provided with electro-magnet and sensor, the inside push rod that vertically is provided with of electro-magnet blocks the turnover door.
4. The device and the method for detecting and recycling the mobile phone loss according to claim 3, wherein: the sliding assembly comprises a sliding rail and a sliding piece, the bottom end of the sliding piece is fixed on the extension plate, the sliding piece is arranged on the sliding rail, the sliding end of the sliding piece is connected with one end of the lower half of the belt on the tension wheel through a bridging plate, and the two ends of the shifting frame are fixed at the end of the lower half of the belt.
5. The device and the method for detecting and recovering the mobile phone loss according to claim 1, wherein: and light barriers are further arranged on the side faces of the photographing light sources in the middle areas of the two sides of the outer surface of the cabin body.
6. The method for detecting the loss of the mobile phone by the equipment according to any one of claims 1-5 comprises the following steps:
a. photographing the mobile phone: the appearance image of the mobile phone is collected,
marking mobile phone loss information;
b. and (3) detection: designing a deep network structure, training a detection model of mobile phone loss, and completing mobile phone appearance detection by using the mobile phone loss detection model.
c. And (3) recovering: and (4) correctly evaluating and recycling the mobile phone according to the detection result.
7. The method of claim 6, wherein: the method comprises the steps of collecting an appearance image of the mobile phone, wherein the appearance image comprises the steps of shooting the front side and four side faces of the mobile phone, firstly, the mobile phone is placed on a rotating platform at a pick-and-place opening, a sensor arranged at the lower part of a light-transmitting plate senses the mobile phone, a shooting light source outside two sides of a cabin body is started, a camera at the top of the cabin body is started, a front photo of the mobile phone is vertically shot, the front light source and the camera are closed after the shooting is finished, the side camera and a light source above a shooting cabin are started, the side faces of the mobile phone are shot, the camera on the left side of the cabin body is used for carrying out short-focus shooting on the; starting the rotating platform to rotate clockwise by 90 degrees, carrying out long-focus shooting on the long side of the mobile phone to obtain an image of the side face of the long side of the mobile phone, and closing the right camera after shooting is finished; starting the rotating platform to rotate clockwise by 90 degrees, carrying out short-focus shooting on the other short side of the mobile phone to obtain an image of the side face of the other short side of the mobile phone, and closing the left camera after the short-focus shooting is finished; and starting the rotating platform to rotate clockwise by 90 degrees, carrying out long-focus shooting on the other long edge of the mobile phone, acquiring the side image of the other long edge of the mobile phone, and closing the right camera after shooting is finished.
8. The method of claim 6, wherein: b, preprocessing the image with clear appearance of the mobile phone obtained in the step a, extracting the mobile phone area, classifying and labeling the acquired mobile phone image by adopting open source software, wherein the labeled types are scratch (scratch), implosion (crack), leakage (leak), membrane (membrane), wire screen (wiredscreen) and flower screen (flower screen)
(blurredscreen), highlight (highlight), scratch (burn), aging (aging), etc., building an information database.
9. The method of claim 6, wherein: the Detection step comprises the steps of establishing a deep network for the mobile phone appearance image information marked in the step a, training a mobile phone loss Detection model, wherein the deep network is based on a DenseNet-201 network structure, modifying Pooling (Pooling) operation algorithm, adding a Detection layer for realizing the Detection function of the mobile phone, completing mobile phone appearance Detection by using the mobile phone loss Detection model, and performing loss Detection on the collected mobile phone appearance image by using the trained mobile phone loss Detection model.
10. The method of claim 6, wherein: and c, accurately evaluating the mobile phone by using the detection result of the step b, if the mobile phone is recovered, putting the mobile phone into the equipment opening rotary platform, starting a motor at the back of the cabin body by using a position sensor to drive a rotating shaft to rotate and strain a belt to drive a poking frame to push the mobile phone to move forwards, sensing the electromagnet push rod to ascend by using an electromagnet sensor when the mobile phone moves into the cabin body, opening the turnover door, and pushing the turnover door of the mobile phone pushed by the poking frame to push the mobile phone to fall into the background recovery cabin.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112634245A (en) * | 2020-12-28 | 2021-04-09 | 广州绿怡信息科技有限公司 | Loss detection model training method, loss detection method and device |
| CN113034531A (en) * | 2021-04-02 | 2021-06-25 | 广州绿怡信息科技有限公司 | Equipment placement detection method and device |
| CN113591963A (en) * | 2021-07-23 | 2021-11-02 | 广州绿怡信息科技有限公司 | Equipment side loss detection model training method and equipment side loss detection method |
| CN114486927A (en) * | 2021-12-31 | 2022-05-13 | 杭州意象科技有限公司 | Photographing method for automatic detection of mobile phone |
| US11843206B2 (en) | 2019-02-12 | 2023-12-12 | Ecoatm, Llc | Connector carrier for electronic device kiosk |
| US11922467B2 (en) | 2020-08-17 | 2024-03-05 | ecoATM, Inc. | Evaluating an electronic device using optical character recognition |
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2020
- 2020-03-23 CN CN202010208057.6A patent/CN111294454A/en active Pending
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11843206B2 (en) | 2019-02-12 | 2023-12-12 | Ecoatm, Llc | Connector carrier for electronic device kiosk |
| US11922467B2 (en) | 2020-08-17 | 2024-03-05 | ecoATM, Inc. | Evaluating an electronic device using optical character recognition |
| CN112634245A (en) * | 2020-12-28 | 2021-04-09 | 广州绿怡信息科技有限公司 | Loss detection model training method, loss detection method and device |
| CN113034531A (en) * | 2021-04-02 | 2021-06-25 | 广州绿怡信息科技有限公司 | Equipment placement detection method and device |
| CN113591963A (en) * | 2021-07-23 | 2021-11-02 | 广州绿怡信息科技有限公司 | Equipment side loss detection model training method and equipment side loss detection method |
| CN114486927A (en) * | 2021-12-31 | 2022-05-13 | 杭州意象科技有限公司 | Photographing method for automatic detection of mobile phone |
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